%-12345X@PJL JOB @PJL LJOBINFO USERID = "L437870" HOSTID = "RL-HI-W3GXB87" @PJL RDYMSG DISPLAY = "Microsoft Word - dissertation.doc" @PJL ENTER LANGUAGE = Postscript M%!PS-Adobe-3.0 %%Title: Microsoft Word - dissertation.doc %%Creator: LEXPSNT Version 2.02.00.01 %%CreationDate: 9:57 7/30/2001 %%Pages: (atend) %%BoundingBox: 13 13 599 779 %%LanguageLevel: 3 %%DocumentNeededFonts: (atend) %%DocumentSuppliedFonts: (atend) %%EndComments %%BeginProlog %%BeginResource: procset NTPSOct95 /NTPSOct95 100 dict dup begin/bd{bind def}bind def/ld{load def}bd/ed{exch def} bd/a{currentpoint}bd/c/curveto ld/d/dup ld/e/eofill ld/f/fill ld/tr/translate ld/gr/grestore ld/gs/gsave ld/j/setlinejoin ld/L/lineto ld/M/moveto ld/n /newpath ld/cp/closepath ld/rm/rmoveto ld/sl/setlinewidth ld/sd/setdash ld/g /setgray ld/r/setrgbcolor ld/scmyk/setcmykcolor ld/s/stroke ld/t/show ld/aw /awidthshow ld/im/imagemask ld/MS{moveto 0 eq{show}{false charpath 2 setlinewidth stroke}ifelse}bd/SF{findfont exch scalefont 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Graduate School of) [72 25 50 28 39 39 44 33 28 44 28 28 50 50 25 39 50 50 78 28 28 28 44 50 25 28 50 25 28 50 44 25 55 44 44 50 28 28 47 25 50 33 25 72 33 44 50 50 44 28 44 25 56 44 50 50 50 28 25 50 1]X 3821 4761 M ( ) [1]X 1781 4876 M (State University of New York at Buffalo) [56 28 44 28 44 25 72 50 28 50 44 33 39 28 28 47 25 50 33 25 72 44 72 25 72 50 33 50 25 44 28 25 66 50 33 33 44 28 1]X 3402 4876 M ( ) [1]X 1461 4991 M (In partial f) [31 50 25 50 44 33 28 28 44 28 25 1]X 1880 4991 M (ulfillment of the requirement for the degree of) [50 28 33 28 28 28 78 44 50 28 25 50 33 25 28 50 44 25 33 44 50 50 28 33 44 78 44 50 28 25 33 50 33 25 28 50 44 25 50 44 49 33 44 44 25 50 1]X 3722 4991 M ( ) [1]X 2163 5106 M (Doctor of Philosophy) [72 50 44 28 50 33 25 50 33 25 56 50 28 28 50 39 50 50 50 1]X 3021 5106 M ( ) [1]X 2592 5221 M ( ) [1]X 2592 5336 M ( ) [1]X 1582 5451 M (Department of Computer Science and Engineering) [72 44 50 44 33 28 78 44 50 28 25 50 33 25 67 50 78 50 50 28 44 33 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To further confirm them, an evaluation strategy is used to ) [44 51 28 39 28 44 50 27 28 49 27 28 50 44 27 50 33 50 44 44 39 39 44 50 27 28 78 44 50 44 25 27 61 50 27 33 50 33 28 50 44 33 27 44 50 50 33 29 33 78 27 28 50 44 78 25 27 44 50 27 44 50 44 28 50 44 28 28 50 50 27 39 28 33 44 28 44 51 48 27 28 39 27 50 39 44 50 27 28 50 1]X 792 5008 M (reject those unreasonable results and inference th) [33 44 28 44 44 28 25 28 50 50 39 44 25 50 50 33 44 44 39 50 50 44 50 28 44 25 33 44 39 50 28 28 39 25 44 50 50 25 28 50 33 44 33 44 50 44 44 25 28 1]X 2753 5008 M (e high confidence match models. ) [44 25 50 28 49 50 25 44 50 50 33 28 50 44 50 44 44 25 78 44 28 44 50 25 78 50 50 44 28 39 25 1]X 4094 5008 M ( ) [1]X 942 5180 M (To improve the detection accuracy, we also proposed a new region model which ) [61 50 44 28 78 50 33 50 50 44 44 28 50 44 44 51 44 28 44 44 28 28 51 50 44 44 44 44 51 33 45 46 48 25 44 72 45 44 44 28 39 50 44 51 33 51 50 50 39 44 50 44 44 44 51 44 72 45 33 45 49 28 50 50 44 78 51 50 44 28 44 72 50 28 44 50 1]X 792 5353 M (combines both region and edge information into image segmentation, and reformulate the ) [44 50 78 50 28 50 44 39 26 50 50 28 50 26 33 45 49 28 50 50 26 44 51 50 26 44 51 49 44 26 28 50 33 50 33 79 44 28 28 50 50 26 28 50 28 50 26 28 78 44 50 44 26 39 45 49 78 44 50 28 44 28 28 50 50 25 26 44 50 51 27 33 44 33 50 33 78 50 28 44 28 45 26 28 50 44 1]X 792 5525 M (traditional snake model and level set model with it. As exp) [28 33 44 50 28 28 28 50 50 44 28 26 39 50 44 50 44 26 78 50 50 44 28 26 44 50 50 26 28 44 50 44 28 26 39 44 28 26 78 50 50 44 28 26 72 28 28 50 26 27 27 25 26 72 39 26 44 51 1]X 3152 5525 M (ected, the reformulated models ) [44 44 28 44 50 25 26 28 50 44 26 33 44 33 50 33 79 50 28 44 28 44 50 26 78 50 50 44 28 39 1]X showpage %%Page: 4 4 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4342 6168 M (4) [1]X 792 583 M (demonstrate robust ability to deal with the ambiguity in images and overcome the ) [50 44 78 50 50 39 28 33 44 28 44 53 33 50 50 50 39 28 53 44 50 28 28 28 29 48 53 28 50 53 50 44 44 28 53 72 28 28 50 53 28 50 44 53 44 79 50 28 49 50 28 29 48 53 28 50 53 28 78 45 49 44 39 53 44 50 50 54 50 50 44 33 44 50 78 44 53 28 50 45 1]X 792 755 M (problem associated with the initialization.) [50 33 50 50 28 44 78 25 44 39 39 50 44 28 44 28 44 50 25 72 28 28 50 25 28 50 44 25 28 50 28 28 28 44 28 28 45 44 28 28 50 50 1]X 2467 755 M ( ) [1]X 942 928 M (The performance of the system has been tested on different types of digital ) [61 50 44 25 50 44 33 33 50 33 78 44 50 44 44 25 50 33 25 28 50 44 25 39 47 39 28 44 78 25 50 44 39 25 50 44 44 50 25 28 44 39 28 44 50 25 50 50 25 50 28 33 33 44 33 44 50 28 25 28 47 50 44 39 25 50 33 25 50 28 49 28 28 44 28 1]X 792 1100 M (radiographs, including c) [33 44 50 28 50 49 33 44 50 50 39 25 25 28 50 44 28 50 50 28 50 49 25 1]X 1758 1100 M (hest, pelvis, ankle, elbow and etc. The experimental results ) [50 44 39 28 25 25 50 44 28 50 28 39 25 25 44 50 50 28 44 25 25 44 28 50 50 72 25 44 50 50 25 44 28 44 25 25 61 50 44 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 1]X 792 1273 M (suggest that the system prototype is applicable and robust, and the accuracy of the system ) [39 50 49 49 44 39 28 25 28 50 44 28 25 28 50 44 25 39 47 39 28 44 78 25 50 33 50 28 50 28 47 50 44 25 28 39 25 44 50 50 28 28 44 44 50 28 44 25 44 50 50 25 33 50 50 50 39 28 25 25 44 50 50 25 28 50 44 25 44 44 44 50 33 44 44 47 25 50 33 25 28 50 44 25 39 47 39 28 44 78 1]X 792 1445 M (is nearly 70% in our image databases. ) [28 39 25 50 44 44 33 28 47 25 50 50 83 25 28 50 25 50 50 33 25 28 78 44 49 44 25 50 44 28 44 50 44 39 44 39 25 1]X 2324 1445 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 792 1619 M ( ) [1]X 792 1792 M ( ) [1]X 792 1962 M (Key words: ) [77 44 51 50 73 50 44 56 39 33 1]X [100 0 0 -100 0 0]/Times-Roman MF 1359 1962 M ( Medical images databases, Knowledge) [48 48 48 48 89 44 50 28 44 44 28 48 28 78 44 49 44 39 48 51 44 28 44 50 44 39 44 39 25 48 73 50 50 72 28 44 50 50 1]X 3173 1962 M (-) [1]X 3206 1962 M (based, image) [51 44 39 44 50 25 48 28 78 45 49 1]X 3751 1962 M ( understanding, ) [49 50 50 50 44 33 39 28 44 50 50 28 51 49 26 1]X 792 2134 M (image classification, feature extraction, snake model, object) [28 78 44 49 44 25 44 28 44 39 39 28 33 28 44 44 28 28 50 50 25 25 33 44 44 28 50 33 44 25 44 51 28 33 44 44 28 28 50 50 25 25 39 50 44 50 44 25 78 50 50 44 28 25 25 50 50 28 44 44 1]X 3184 2134 M (-) [1]X 3217 2134 M (oriented representation) [50 33 28 44 50 28 44 50 25 33 44 50 33 44 39 44 50 28 44 28 28 50 1]X 4134 2134 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 792 2309 M ( ) [1]X [200 0 0 -200 0 0]/Times-Bold MF 792 2574 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 2823 M ( ) [1]X showpage %%Page: 5 5 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4342 6168 M (5) [1]X [200 0 0 -200 0 0]/Times-Bold MF 792 678 M ( ) [1]X [167 0 0 -167 0 0]/Times-Bold MF 1900 992 M (Acknowledgements) [121 74 93 93 84 120 46 74 93 84 74 139 74 93 56 1]X 3283 992 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1215 M ( ) [1]X 792 1387 M (I would like to thank my thesis advisors, Dr. Acharya and Dr. Gaborski, for all of their ) [32 34 72 50 50 28 50 33 28 28 50 44 33 28 51 33 28 50 44 50 50 33 79 48 34 28 51 44 39 28 39 33 44 50 50 28 39 50 33 39 25 33 73 33 25 33 73 45 50 44 35 48 44 34 44 50 50 33 73 33 25 33 73 44 50 50 33 39 50 28 25 34 33 50 33 33 44 28 28 33 51 33 33 28 50 44 28 34 1]X 792 1560 M (guidance, encouragement and support in my ) [49 50 28 50 44 51 44 44 25 40 44 50 44 50 51 33 45 50 44 78 44 51 28 40 44 50 50 40 39 50 50 50 50 33 28 40 28 49 40 79 47 1]X 2676 1560 M (research and overall graduate experience, ) [33 44 40 44 44 34 44 50 40 44 50 50 40 50 50 44 33 44 28 28 40 50 33 44 50 51 44 28 44 40 44 51 50 44 33 28 44 50 44 44 26 1]X 792 1732 M (without which this dissertation would not be possible.) [72 28 28 50 50 50 28 25 72 50 28 44 50 25 28 50 28 39 25 50 28 39 39 44 33 28 44 28 28 50 50 25 72 50 50 28 50 25 50 50 28 25 50 44 25 50 50 39 39 28 50 28 44 1]X 2948 1732 M ( ) [1]X 942 1904 M (Four years ago, Dr. Acharya and Dr. Gaborski introduced me to the field of medical ) [55 50 50 33 33 48 45 44 33 39 32 45 49 50 25 31 72 33 26 31 72 44 51 44 35 48 44 32 44 50 50 31 72 33 26 31 72 44 50 51 33 39 50 28 31 28 50 28 33 50 50 50 44 44 50 31 78 45 31 28 50 31 28 50 44 31 33 29 44 28 50 32 50 33 31 78 44 50 28 44 44 29 1]X 792 2077 M (image analysis, and I immediately found my interests in this area. Over the ) [28 78 44 49 45 35 44 50 44 30 48 39 28 39 25 35 44 50 51 36 32 35 28 79 78 44 50 28 44 28 44 29 48 36 33 50 50 50 50 35 80 48 35 28 50 28 45 33 44 39 28 39 35 28 50 35 28 50 28 39 35 44 33 45 44 25 35 72 50 45 33 35 29 50 44 1]X 3951 2077 M (years, they ) [48 44 45 33 39 25 35 28 50 46 48 1]X 792 2249 M (have given me the help to formulate my research problems, the freedom to work on the ) [50 44 50 44 33 49 28 50 44 51 32 78 45 32 28 50 44 32 51 44 28 50 32 29 50 32 33 50 33 78 50 28 44 28 45 32 80 48 32 34 44 39 44 45 33 44 51 32 50 33 50 50 28 44 78 39 25 32 28 50 45 32 33 34 44 44 50 50 78 32 29 50 32 72 50 33 50 32 50 51 32 28 50 45 1]X 792 2421 M (problems, the direction to help me stay aware of the big picture and evaluate benefits and ) [50 33 50 50 28 44 78 39 25 27 28 50 44 27 50 28 33 44 44 28 28 50 50 27 28 50 27 50 44 28 50 27 78 44 27 39 28 45 48 28 44 72 44 34 44 27 50 33 27 29 50 44 27 50 28 49 27 50 28 44 28 50 34 44 27 44 50 50 27 44 51 44 28 50 45 28 44 27 50 44 50 44 33 28 28 39 27 44 50 51 1]X 792 2594 M (pitfalls of various solutions I have considered. ) [50 28 28 33 44 28 28 39 25 50 33 25 50 44 33 28 50 50 39 25 39 50 28 50 28 28 50 50 39 25 31 25 50 44 50 44 25 44 50 50 39 28 50 44 33 44 50 25 1]X 2660 2594 M ( ) [1]X 942 2766 M (I also thank Profe) [32 44 44 28 39 50 43 28 50 44 50 50 43 56 33 50 34 1]X 1704 2766 M (ssor Aidong Zhang, Professor Venu Govindaraju,) [39 39 50 33 44 72 28 50 50 50 49 44 60 51 44 51 49 25 43 56 33 50 33 44 39 39 51 33 43 72 44 50 50 43 72 50 50 28 50 51 44 33 44 28 50 1]X [100 0 0 -100 0 0]/Times-Bold MF 3780 2766 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 3826 2766 M (and Professor ) [44 51 50 43 56 33 50 33 44 39 39 50 34 1]X 792 2938 M (Rohini Sridhar for serving in my committee, and giving me many valuable advice and ) [67 50 50 28 50 28 37 56 33 28 50 50 44 33 37 33 50 33 37 39 44 33 50 29 50 49 37 28 50 37 80 48 37 44 50 78 78 28 28 28 44 44 25 37 44 51 50 37 49 28 50 28 51 49 37 78 44 37 78 44 52 48 37 50 44 28 51 45 50 28 44 37 44 50 50 28 44 44 38 44 50 50 1]X 792 3111 M (direction. ) [50 28 33 44 44 28 28 50 50 25 25 1]X 1222 3111 M ( ) [1]X 942 3283 M (Many thanks to the thesis outside reader Professor Zhongfei Zhang for his ) [89 44 51 48 69 28 50 44 50 50 39 69 28 50 69 28 50 44 69 28 50 44 39 28 39 69 50 50 28 39 28 50 44 69 33 44 44 50 44 33 69 57 33 50 33 44 39 39 50 33 70 60 50 50 51 49 34 44 28 69 60 51 45 50 49 69 33 50 33 69 50 28 39 1]X 792 3456 M (suggestions and comments,) [39 50 49 49 44 39 28 28 50 50 39 25 44 50 50 25 44 50 78 78 44 50 28 39 1]X 1887 3456 M ( which improve the final draft of the thesis. ) [25 72 50 28 44 50 25 28 78 50 33 50 50 44 25 28 50 44 25 33 28 50 44 28 25 50 33 44 33 28 25 50 33 25 28 50 44 25 28 50 44 39 28 39 25 1]X 3640 3456 M ( ) [1]X 942 3628 M (My special thanks go to Health Imaging Lab of Kodak Company and Siemens ) [90 48 51 39 51 44 44 28 44 28 51 28 51 44 50 50 39 52 49 50 51 29 50 51 72 44 44 28 28 50 53 32 78 45 49 28 51 49 52 60 45 50 52 50 33 51 72 50 50 44 51 51 67 50 78 50 44 52 48 52 44 51 50 51 56 28 44 78 44 50 39 1]X 792 3800 M (Corporate Research for providing financial supports at various stage of my thesis.) [67 50 33 50 50 33 44 28 44 25 67 44 39 44 44 33 44 50 25 33 50 33 25 50 33 50 50 28 50 28 50 49 25 33 28 50 44 50 44 28 44 28 25 39 50 50 50 50 33 28 39 25 44 28 25 50 44 33 28 50 50 39 25 39 28 44 49 44 25 50 33 25 78 47 25 28 50 44 39 28 39 1]X 4054 3800 M ( ) [1]X 985 3973 M (Over the passed four years, I have the opportunity to ) [72 50 44 33 53 28 50 44 53 50 44 39 39 44 50 53 33 50 50 33 55 49 44 44 33 39 25 54 31 53 51 44 50 44 53 28 50 44 53 50 50 50 50 33 29 50 50 28 29 47 53 28 50 1]X 3391 3973 M (work at the Networked ) [72 50 33 50 53 44 28 53 28 50 44 53 72 44 28 72 50 33 50 44 50 1]X 792 4145 M (Multimedia and Visualization Laboratory, a wonderful place. I want to thank all former ) [89 50 28 28 28 78 44 50 28 44 33 44 50 50 33 72 28 39 50 44 28 28 44 44 28 28 50 50 34 59 44 50 51 33 44 28 50 35 48 25 34 44 33 72 50 51 50 44 33 33 50 28 33 50 28 44 45 44 25 34 32 33 73 44 50 28 33 28 50 33 28 50 44 50 50 33 44 28 28 33 33 50 33 78 44 34 1]X 792 4317 M (and current members at the lab for helping me during these years, giving me friendship, ) [44 50 50 31 44 51 33 33 44 50 28 31 79 44 78 50 44 33 39 32 44 28 31 29 50 44 31 28 44 50 32 33 50 33 31 51 44 28 50 28 50 50 31 78 44 31 50 51 33 28 50 50 31 28 50 44 39 44 33 48 45 45 33 39 25 32 49 28 50 28 50 50 32 78 44 31 33 33 28 44 50 50 39 50 28 50 26 1]X 792 4490 M (and making my stay at Buffalo pleasant and memorable.) [44 50 50 25 78 44 50 28 50 49 25 78 47 25 39 28 44 47 25 44 28 25 66 50 33 33 44 28 50 25 50 28 44 44 39 44 50 28 25 44 50 50 25 78 44 78 50 33 44 50 28 44 1]X 3039 4490 M ( ) [1]X 985 4662 M (Most ) [89 50 39 28 1]X 1223 4662 M (importantly, I would like to express my gratitude to my family. This thesis is ) [28 78 50 50 33 28 44 50 28 29 48 25 33 32 33 72 50 51 28 50 32 28 28 50 44 32 28 50 32 44 51 50 33 44 39 39 32 79 48 33 50 33 45 28 28 28 50 50 44 32 28 50 32 79 48 33 33 44 78 28 29 48 26 32 61 50 29 39 32 28 50 44 39 28 39 32 28 38 1]X 792 4834 M (dedicated to my mother for her love and encouragement, with which I always have ) [50 44 50 28 44 44 28 44 50 47 28 50 47 80 47 47 78 50 28 50 45 34 47 33 50 33 47 50 44 33 47 28 50 50 44 47 44 50 50 48 44 50 44 51 50 33 45 49 44 78 44 50 28 25 47 72 28 28 50 47 72 50 28 44 50 48 32 48 44 28 72 46 48 39 47 50 44 51 44 1]X 792 5007 M (courage to face difficulties in my life. I also thank my father, who showed me the path of ) [44 50 50 33 45 50 44 27 28 50 27 33 45 44 44 27 50 28 34 33 28 44 50 28 28 28 44 39 27 28 50 27 79 48 27 28 28 34 44 25 28 32 28 44 28 39 50 27 28 50 44 51 50 27 79 48 27 34 44 28 50 44 33 26 27 72 50 50 27 39 50 50 72 44 51 27 78 44 27 28 50 44 27 50 44 28 50 27 51 34 1]X 792 5179 M (academ) [44 44 44 51 44 1]X 1097 5179 M (ics where I walked this far, and my lovely sister for her love and encouragement. ) [28 44 39 29 72 50 44 34 44 30 32 29 73 44 28 50 45 50 29 28 50 28 39 29 33 44 33 25 29 44 50 50 29 80 48 29 28 50 50 44 30 49 29 39 28 39 28 44 33 29 33 50 33 29 50 45 33 29 28 50 50 44 29 44 50 50 30 45 50 44 50 50 33 45 50 44 78 44 50 28 25 1]X 792 5351 M (Special thanks go to my husband for discussing me with my ideas, sharing my difficulties, ) [56 50 44 44 28 44 28 26 28 50 44 50 50 39 26 49 50 26 28 50 26 79 47 27 50 50 39 50 44 50 50 26 33 50 33 26 50 28 39 44 50 39 39 28 50 49 26 78 44 26 72 28 28 50 26 79 47 26 28 50 44 44 39 25 26 39 50 45 33 28 50 49 27 79 47 26 50 29 33 33 28 44 50 28 28 28 44 39 26 1]X 792 5524 M (and always understanding and supporting me. ) [44 50 50 25 44 28 72 44 47 39 25 50 50 50 44 33 39 28 44 50 50 28 50 49 25 44 50 50 25 39 50 50 50 50 33 28 28 50 49 25 78 44 25 25 1]X 2668 5524 M ( ) [1]X 942 5696 M ( ) [1]X showpage %%Page: 6 6 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4342 6168 M (6) [1]X [200 0 0 -200 0 0]/Times-Roman MF 942 676 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 928 M ( ) [1]X [167 0 0 -167 0 0]/Times-Bold MF 792 1164 M (Contents) [121 84 93 56 74 93 56 1]X 1434 1164 M ( ) [1]X [150 0 0 -150 0 0]/Times-Bold MF 792 1435 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 1679 M (List of Figures) [89 37 52 44 33 67 44 33 81 37 67 74 59 59 1]X 1620 1679 M ( ) [1]X 1692 1679 M ( ) [1]X 1992 1679 M ( ) [1]X 2292 1679 M ( ) [1]X 2592 1679 M ( ) [1]X 2892 1679 M ( ) [1]X 3192 1679 M ( ) [1]X 3492 1679 M ( ) [1]X 3792 1679 M ( ) [1]X 4092 1679 M (vii) [67 37 1]X 4233 1679 M ( ) [1]X 792 1831 M ( ) [1]X 792 2062 M (List of Tables) [89 37 52 44 33 67 44 33 89 67 74 37 59 1]X 1569 2062 M ( ) [1]X 1692 2062 M ( ) [1]X 1992 2062 M ( ) [1]X 2292 2062 M ( ) [1]X 2592 2062 M ( ) [1]X 2892 2062 M ( ) [1]X 3192 2062 M ( ) [1]X 3492 2062 M ( ) [1]X 3792 2062 M ( ) [1]X 4092 2062 M (ix) [37 1]X 4196 2062 M ( ) [1]X [133 0 0 -133 0 0]/Times-Roman MF 792 2211 M ( ) [1]X 792 2441 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 792 2674 M (1.) [50 1]X 867 2674 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 942 2674 M (Introduction) [52 74 44 59 67 74 74 59 44 37 67 1]X 1667 2674 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 4167 2674 M (1) [1]X 4217 2674 M ( ) [1]X 4392 2674 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 942 2872 M (1.1) [50 25 1]X 1067 2872 M ( ) [1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 1092 2872 M (Significance \205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [56 28 49 50 28 33 28 44 44 50 44 44 25 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4140 2872 M ( ) [1]X 4167 2872 M (1) [1]X 4217 2872 M ( ) [1]X 942 3044 M (1.2) [50 25 1]X 1067 3044 M ( ) [1]X 1092 3044 M (Research scope and goal \205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [67 44 39 44 44 33 44 50 25 39 44 50 50 44 25 44 50 50 25 49 50 44 28 25 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4124 3044 M ( ) [1]X 4167 3044 M (3) [1]X 4217 3044 M ( ) [1]X 942 3216 M (1.3) [50 25 1]X 1067 3216 M ( ) [1]X 1092 3216 M (Contribution\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [67 50 50 28 33 28 50 50 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4129 3216 M ( ) [1]X 4167 3216 M (4) [1]X 4217 3216 M ( ) [1]X 942 3389 M (1.4) [50 25 1]X 1067 3389 M ( ) [1]X 1092 3389 M (Organization of the thesis\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [72 33 49 44 50 28 45 44 28 28 50 50 25 50 33 25 28 50 44 25 28 50 44 39 28 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4146 3389 M ( ) [1]X 4167 3389 M (5) [1]X 4217 3389 M ( ) [1]X 942 3561 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 3765 M (2.) [67 1]X 892 3765 M ( ) [1]X 942 3765 M (Design of the Object) [96 59 52 37 67 74 44 67 44 44 44 75 59 45 103 75 44 59 59 1]X 2134 3765 M (-) [1]X 2178 3765 M (Orie) [104 59 37 1]X 2437 3765 M (nted Knowledge Model for Image ) [74 45 59 74 45 103 75 66 98 37 59 74 67 59 44 126 67 74 59 37 44 44 67 59 44 53 109 67 67 59 1]X 942 3995 M (Understanding) [96 74 74 59 59 52 44 67 74 74 37 74 1]X 1793 3995 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 4167 3995 M (6) [1]X [133 0 0 -133 0 0]/Times-Bold MF 4217 3995 M ( ) [1]X [100 0 0 -100 0 0]/_Times-Roman MF 942 4193 M (2.1) [50 25 1]X 1067 4193 M ( ) [1]X 1092 4193 M ( Introduction \205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [25 31 50 28 33 50 50 50 44 28 28 50 50 25 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4134 4193 M ( ) [1]X 4167 4193 M (6) [1]X 4217 4193 M ( ) [1]X 1092 4365 M (2.1.1) [50 25 50 25 1]X 1292 4365 M ( ) [1]X 1392 4365 M (Our Motivation\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [72 50 33 25 89 50 28 28 50 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4117 4365 M ( ) [1]X 4167 4365 M (7) [1]X 4217 4365 M ( ) [1]X 942 4538 M (2.2) [50 25 1]X 1067 4538 M ( ) [1]X 1092 4538 M ( Overview of knowledge representation in image understanding\205\205\205\205\205) [25 72 50 44 33 50 28 44 72 25 50 33 25 50 50 50 72 28 44 50 49 44 25 33 44 50 33 44 39 44 50 28 44 28 28 50 50 25 28 50 25 28 78 44 49 44 25 50 50 50 44 33 39 28 44 50 50 28 50 49 100 100 100 100 1]X 4131 4538 M ( ) [1]X 4167 4538 M (8) [1]X 4217 4538 M ( ) [1]X 1092 4710 M (2.2.1) [50 25 50 25 1]X 1292 4710 M ( ) [1]X 1392 4710 M (Production rules system\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [56 33 50 50 50 44 28 28 50 50 25 33 50 28 44 39 25 39 47 39 28 44 78 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4150 4710 M ( ) [1]X 4167 4710 M (8) [1]X 4217 4710 M ( ) [1]X 1092 4882 M (2.2.2) [50 25 50 25 1]X 1292 4882 M ( ) [1]X 1392 4882 M (Blackboard system) [66 28 44 44 50 50 50 44 33 50 25 39 47 39 28 44 1]X 2151 4882 M (\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4151 4882 M ( ) [1]X 4167 4882 M (9) [1]X 4217 4882 M ( ) [1]X 1092 5055 M (2.2.3) [50 25 50 25 1]X 1292 5055 M ( ) [1]X 1392 5055 M (Frame) [55 33 44 78 1]X 1646 5055 M (-) [1]X 1679 5055 M (based semantic networks\205\205\205\205\205\205\205\205\205\205\205\205\205\205...) [50 44 39 44 50 25 39 44 78 44 50 28 28 44 25 50 44 28 72 50 33 50 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4152 5055 M ( ) [1]X 4167 5055 M (10) [50 1]X 4267 5055 M ( ) [1]X 1092 5227 M (2.2.4) [50 25 50 25 1]X 1292 5227 M ( ) [1]X 1392 5227 M (Object) [72 50 28 44 44 1]X 1658 5227 M (-) [1]X 1691 5227 M (oriented representation\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [50 33 28 44 50 28 44 50 25 33 44 50 33 44 39 44 50 28 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4158 5227 M ( ) [1]X 4167 5227 M (11) [50 1]X 4267 5227 M ( ) [1]X 942 5399 M (2.3) [50 25 1]X 1067 5399 M ( ) [1]X 1092 5399 M ( Strategies for Dealing with Complexity\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [25 56 28 33 44 28 44 49 28 44 39 25 33 50 33 25 72 44 44 28 28 50 49 25 72 28 28 50 25 67 50 78 50 28 44 51 28 28 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4140 5399 M ( ) [1]X 4167 5399 M (13) [50 1]X 4267 5399 M ( ) [1]X 1092 5572 M (2.3.1) [50 25 50 25 1]X 1292 5572 M ( ) [1]X 1392 5572 M (Abstraction\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [72 50 39 28 33 44 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4158 5572 M ( ) [1]X 4167 5572 M (15) [50 1]X 4267 5572 M ( ) [1]X 1092 5744 M (2.3.2) [50 25 50 25 1]X 1292 5744 M ( ) [1]X 1392 5744 M (Hierarchical Representation\205\205\205\205\205\205\205\205) [72 28 44 33 44 33 44 50 28 44 44 28 25 67 44 50 33 44 39 44 50 28 44 28 28 50 50 100 100 100 100 100 100 100 1]X 3308 5744 M (\205\205\205\205\205\205\205\205..) [100 100 100 100 100 100 100 100 25 1]X 4158 5744 M ( ) [1]X 4167 5744 M (16) [50 1]X 4267 5744 M ( ) [1]X showpage %%Page: 7 7 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4342 6168 M (7) [1]X 1092 583 M (2.3.3) [50 25 50 25 1]X 1292 583 M ( ) [1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 1392 583 M (Control Issue\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [67 50 50 28 33 50 28 25 31 39 39 50 44 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4151 583 M ( ) [1]X 4167 583 M (17) [50 1]X 4267 583 M ( ) [1]X 1092 755 M (2.3.4) [50 25 50 25 1]X 1292 755 M ( ) [1]X 1392 755 M (Handling Uncertainty\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [72 44 50 50 28 28 50 49 25 72 50 44 44 33 28 44 28 50 28 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4156 755 M ( ) [1]X 4167 755 M (19) [50 1]X 4267 755 M ( ) [1]X 942 928 M (2.4) [50 25 1]X 1067 928 M ( ) [1]X 1092 928 M (Basic concepts of the object) [66 44 39 28 44 25 44 50 50 44 44 50 28 39 25 50 33 25 28 50 44 25 50 50 28 44 44 1]X 2211 928 M (-) [1]X 2244 928 M (oriented knowledge model\205\205\205\205\205\205\205\205.) [50 33 28 44 50 28 44 50 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 100 100 100 100 100 100 100 100 1]X 4133 928 M ( ) [1]X 4167 928 M (21) [50 1]X 4267 928 M ( ) [1]X 1092 1100 M (2.4.1) [50 25 50 25 1]X 1292 1100 M ( ) [1]X 1392 1100 M (Model attributes \205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [89 50 50 44 28 25 44 28 28 33 28 50 50 28 44 39 25 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4125 1100 M ( ) [1]X 4167 1100 M (22) [50 1]X 4267 1100 M ( ) [1]X 1092 1272 M (2.4.2) [50 25 50 25 1]X 1292 1272 M ( ) [1]X 1392 1272 M (Model methods \205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [89 50 50 44 28 25 78 44 28 50 50 50 39 25 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4142 1272 M ( ) [1]X 4167 1272 M (24) [50 1]X 4267 1272 M ( ) [1]X 942 1445 M (2.5) [50 25 1]X 1067 1445 M ( ) [1]X 1092 1445 M (Implementat) [31 78 50 28 44 78 44 50 28 44 1]X 1595 1445 M (ion of object) [28 50 50 25 50 33 25 50 50 28 44 44 1]X 2100 1445 M (-) [1]X 2133 1445 M (oriented knowledge model\205\205\205\205\205\205\205\205\205..) [50 33 28 44 50 28 44 50 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 25 1]X 4147 1445 M ( ) [1]X 4167 1445 M (32) [50 1]X 4267 1445 M ( ) [1]X 1092 1617 M (2.5.1) [50 25 50 25 1]X 1292 1617 M ( ) [1]X 1392 1617 M (Chest digital radiographs\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [67 50 44 39 28 25 50 28 49 28 28 44 28 25 33 44 50 28 50 49 33 44 50 50 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4145 1617 M ( ) [1]X 4167 1617 M (32) [50 1]X 4267 1617 M ( ) [1]X 1092 1789 M (2.5.2) [50 25 50 25 1]X 1292 1789 M ( ) [1]X 1392 1789 M (Pelvis digital radiographs\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [56 44 28 50 28 39 25 50 28 49 28 28 44 28 25 33 44 50 28 50 49 33 44 50 50 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4137 1789 M ( ) [1]X 4167 1789 M (40) [50 1]X 4267 1789 M ( ) [1]X 1092 1962 M (2.5.3) [50 25 50 25 1]X 1292 1962 M ( ) [1]X 1392 1962 M (Other digital radiographs\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [72 28 50 44 33 25 50 28 49 28 28 44 28 25 33 44 50 28 50 49 33 44 50 50 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4144 1962 M ( ) [1]X 4167 1962 M (46) [50 1]X 4267 1962 M ( ) [1]X 942 2134 M (2.6) [50 25 1]X 1067 2134 M ( ) [1]X 1092 2134 M (Summary\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205...) [56 50 78 78 44 33 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4153 2134 M ( ) [1]X 4167 2134 M (49) [50 1]X 4267 2134 M ( ) [1]X 1092 2307 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 792 2511 M (3.) [50 1]X 867 2511 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 942 2511 M (Robust Snake Model) [96 67 74 74 52 44 33 74 74 67 73 59 33 126 67 74 59 1]X 2125 2511 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 4167 2511 M (50) [50 1]X 4267 2511 M ( ) [1]X [100 0 0 -100 0 0]/_Times-Roman MF 942 2709 M (3.1) [50 25 1]X 1067 2709 M ( ) [1]X 1092 2709 M ( Introduction\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [25 31 50 28 33 50 50 50 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4134 2709 M ( ) [1]X 4167 2709 M (50) [50 1]X 4267 2709 M ( ) [1]X 942 2881 M (3.2) [50 25 1]X 1067 2881 M ( ) [1]X 1092 2881 M ( Snake Model\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [25 56 50 44 50 44 25 89 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4147 2881 M ( ) [1]X 4167 2881 M (52) [50 1]X 4267 2881 M ( ) [1]X 1092 3053 M (3.2.1) [50 25 50 25 1]X 1292 3053 M ( ) [1]X 1392 3053 M (Internal energy\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [31 50 28 44 33 50 44 28 25 44 50 44 33 49 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4142 3053 M ( ) [1]X 4167 3053 M (53) [50 1]X 4267 3053 M ( ) [1]X 1092 3226 M (3.2.2) [50 25 50 25 1]X 1292 3226 M ( ) [1]X 1392 3226 M (Image energy\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [31 78 44 49 44 25 44 50 44 33 49 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4130 3226 M ( ) [1]X 4167 3226 M (53) [50 1]X 4267 3226 M ( ) [1]X 1092 3398 M (3.2.3) [50 25 50 25 1]X 1292 3398 M ( ) [1]X 1392 3398 M (External Constraint energy\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [61 51 28 44 33 50 44 28 25 67 50 50 39 28 33 44 28 50 28 25 44 50 44 33 49 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4115 3398 M ( ) [1]X 4167 3398 M (55) [50 1]X 4267 3398 M ( ) [1]X 942 3570 M (3.3) [50 25 1]X 1067 3570 M ( ) [1]X 1092 3570 M (Properties of snake model\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [56 33 50 50 44 33 28 28 44 39 25 50 33 25 39 50 44 50 44 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 3632 3570 M (\205\205\205\205\205) [100 100 100 100 1]X 4132 3570 M ( ) [1]X 4167 3570 M (55) [50 1]X 4267 3570 M ( ) [1]X 1092 3743 M (3.3.1) [50 25 50 25 1]X 1292 3743 M ( ) [1]X 1392 3743 M (Energy formulation\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205...) [61 50 44 33 49 47 25 33 50 33 78 50 28 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4148 3743 M ( ) [1]X 4167 3743 M (56) [50 1]X 4267 3743 M ( ) [1]X 1092 3915 M (3.3.2) [50 25 50 25 1]X 1292 3915 M ( ) [1]X 1392 3915 M (Initialization\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [31 50 28 28 28 44 28 28 45 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4152 3915 M ( ) [1]X 4167 3915 M (59) [50 1]X 4267 3915 M ( ) [1]X 1092 4087 M (3.3.3) [50 25 50 25 1]X 1292 4087 M ( ) [1]X 1392 4087 M (Energy minimization\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 33 49 47 25 78 28 50 28 78 28 45 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4161 4087 M ( ) [1]X 4167 4087 M (62) [50 1]X 4267 4087 M ( ) [1]X 1092 4260 M (3.3.4) [50 25 50 25 1]X 1292 4260 M ( ) [1]X 1392 4260 M (Implementation\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [31 78 50 28 44 78 44 50 28 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4148 4260 M ( ) [1]X 4167 4260 M (64) [50 1]X 4267 4260 M ( ) [1]X 942 4432 M (3.4) [50 25 1]X 1067 4432 M ( ) [1]X 1092 4432 M (Robust snake model \205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [67 50 50 50 39 28 25 39 50 44 50 44 25 78 50 50 44 28 25 25 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4153 4432 M ( ) [1]X 4167 4432 M (67) [50 1]X 4267 4432 M ( ) [1]X 1092 4605 M (3.4.1) [50 25 50 25 1]X 1292 4605 M ( ) [1]X 1392 4605 M (Region model and its statistics\205) [67 44 49 28 50 50 25 78 50 50 44 28 25 44 50 50 25 28 28 39 25 39 28 44 28 28 39 28 28 44 39 1]X 2714 4605 M (\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4139 4605 M ( ) [1]X 4167 4605 M (67) [50 1]X 4267 4605 M ( ) [1]X 1092 4777 M (3.4.2) [50 25 50 25 1]X 1292 4777 M ( ) [1]X 1392 4777 M (Reformulate snake model with region model\205\205\205\205\205\205\205\205\205...) [67 44 33 50 33 78 50 28 44 28 44 25 39 50 44 50 44 25 78 50 50 44 28 25 72 28 28 50 25 33 44 49 28 50 50 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 25 25 1]X 4150 4777 M ( ) [1]X 4167 4777 M (72) [50 1]X 4267 4777 M ( ) [1]X 1092 4949 M (3.4.3) [50 25 50 25 1]X 1292 4949 M ( ) [1]X 1392 4949 M (Reformulate level set models with region model\205\205\205\205\205\205\205\205.) [67 44 33 50 33 78 50 28 44 28 44 25 28 44 50 44 28 25 39 44 28 25 78 50 50 44 28 39 25 72 28 28 50 25 33 44 49 28 50 50 25 78 50 50 44 28 100 100 100 100 100 100 100 100 1]X 4142 4949 M ( ) [1]X 4167 4949 M (77) [50 1]X 4267 4949 M ( ) [1]X 942 5122 M (3.5) [50 25 1]X 1067 5122 M ( ) [1]X 1092 5122 M (Performance Assessment\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [56 44 33 33 50 33 78 44 50 44 44 25 72 39 39 44 39 39 78 44 50 28 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4148 5122 M ( ) [1]X 4167 5122 M (80) [50 1]X 4267 5122 M ( ) [1]X 1092 5294 M (3.5.1) [50 25 50 25 1]X 1292 5294 M ( ) [1]X 1392 5294 M (Experimental results on simulated images\205\205\205\205\205\205\205\205\205\205\205) [61 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 25 50 50 25 39 28 78 50 28 44 28 44 50 25 28 78 44 49 44 39 100 100 100 100 100 100 100 100 100 100 1]X 4163 5294 M ( ) [1]X 4167 5294 M (80) [50 1]X 4267 5294 M ( ) [1]X 1092 5466 M (3.5.2) [50 25 50 25 1]X 1292 5466 M ( ) [1]X 1392 5466 M (Experimental resul) [61 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 1]X 2150 5466 M (ts on real images\205\205\205\205\205\205\205\205\205\205\205\205\205.) [28 39 25 50 50 25 33 44 44 28 25 28 78 44 49 44 39 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4148 5466 M ( ) [1]X 4167 5466 M (82) [50 1]X 4267 5466 M ( ) [1]X 942 5639 M (3.6) [50 25 1]X 1067 5639 M ( ) [1]X 1092 5639 M (Summary\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205...) [56 50 78 78 44 33 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4153 5639 M ( ) [1]X 4167 5639 M (85) [50 1]X 4267 5639 M ( ) [1]X 942 5811 M ( ) [1]X showpage %%Page: 8 8 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4342 6168 M (8) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 615 M (4.) [67 1]X 892 615 M ( ) [1]X 942 615 M (Architecture of Content) [96 59 59 74 37 44 60 59 44 74 60 59 47 67 44 48 96 67 74 44 59 74 1]X 2332 615 M (-) [1]X 2376 615 M (based Medical Image classification ) [74 67 52 59 74 47 127 59 74 37 59 67 37 47 53 109 67 67 59 47 59 37 67 53 52 37 44 37 59 67 44 37 67 74 1]X 942 845 M (System) [74 67 52 44 59 1]X 1347 845 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 4167 845 M (86) [50 1]X [133 0 0 -133 0 0]/Times-Bold MF 4267 845 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 942 1043 M (4.1) [50 25 1]X 1067 1043 M ( ) [1]X 1092 1043 M ( Introduction ) [25 31 50 28 33 50 50 50 44 28 28 50 50 1]X 1634 1043 M ( ) [1]X 4167 1043 M (86) [50 1]X 4267 1043 M ( ) [1]X 1092 1215 M (4.1.1) [50 25 50 25 1]X 1292 1215 M ( ) [1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 1392 1215 M (Characteristics of Medical images\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [67 50 44 33 44 44 28 44 33 28 39 28 28 44 39 25 50 33 25 89 44 50 28 44 44 28 25 28 78 44 49 44 39 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4152 1215 M ( ) [1]X 4167 1215 M (88) [50 1]X 4267 1215 M ( ) [1]X 1092 1387 M (4.1.2) [50 25 50 25 1]X 1292 1387 M ( ) [1]X 1392 1387 M (Problem Definition\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [56 33 50 50 28 44 78 25 72 44 33 28 50 28 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4167 1387 M (90) [50 1]X 4267 1387 M ( ) [1]X 942 1560 M (4.2) [50 25 1]X 1067 1560 M ( ) [1]X 1092 1560 M ( Framework of the system\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [25 55 33 44 78 44 72 50 33 50 25 50 33 25 28 50 44 25 39 47 39 28 44 78 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4156 1560 M ( ) [1]X 4167 1560 M (91) [50 1]X 4267 1560 M ( ) [1]X 942 1732 M (4.3) [50 25 1]X 1067 1732 M ( ) [1]X 1092 1732 M ( Coarse shape classification\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [25 67 50 44 33 39 44 25 39 50 44 50 44 25 44 28 44 39 39 28 33 28 44 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4148 1732 M ( ) [1]X 4167 1732 M (93) [50 1]X 4267 1732 M ( ) [1]X 1092 1904 M (4.3.1) [50 25 50 25 1]X 1292 1904 M ( ) [1]X 1392 1904 M (Image preprocessing\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [31 78 44 49 44 25 50 33 44 50 33 50 44 44 39 39 28 50 49 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4141 1904 M ( ) [1]X 4167 1904 M (94) [50 1]X 4267 1904 M ( ) [1]X 1092 2077 M (4.3.2) [50 25 50 25 1]X 1292 2077 M ( ) [1]X 1392 2077 M (Feature extraction\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [55 44 44 28 50 33 44 25 44 51 28 33 44 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4140 2077 M ( ) [1]X 4167 2077 M (96) [50 1]X 4267 2077 M ( ) [1]X 1092 2249 M (4.3.3) [50 25 50 25 1]X 1292 2249 M ( ) [1]X 1392 2249 M (Neural networks training\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [72 44 50 33 44 28 25 50 44 28 72 50 33 50 39 25 28 33 44 28 50 28 50 49 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4139 2249 M ( ) [1]X 4167 2249 M (99) [50 1]X 4267 2249 M ( ) [1]X 1092 2421 M (4.3.4) [50 25 50 25 1]X 1292 2421 M ( ) [1]X 1392 2421 M (Object shape detectio) [72 50 28 44 44 28 25 39 50 44 50 44 25 50 44 28 44 44 28 28 1]X 2251 2421 M (n\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4151 2421 M ( ) [1]X 4167 2421 M (103) [50 50 1]X 4317 2421 M ( ) [1]X 942 2594 M (4.4) [50 25 1]X 1067 2594 M ( ) [1]X 1092 2594 M ( Detail content identification\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [25 72 44 28 44 28 28 25 44 50 50 28 44 50 28 25 28 50 44 50 28 28 33 28 44 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4163 2594 M ( ) [1]X 4167 2594 M (104) [50 50 1]X 4317 2594 M ( ) [1]X 1092 2766 M (4.4.1) [50 25 50 25 1]X 1292 2766 M ( ) [1]X 1392 2766 M (Modification of models\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [89 50 50 28 33 28 44 44 28 28 50 50 25 50 33 25 78 50 50 44 28 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4161 2766 M ( ) [1]X 4167 2766 M (105) [50 50 1]X 4317 2766 M ( ) [1]X 1092 2938 M (4.4.2) [50 25 50 25 1]X 1292 2938 M ( ) [1]X 1392 2938 M (Match of models\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205...) [89 44 28 44 50 25 50 33 25 78 50 50 44 28 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4144 2938 M ( ) [1]X 4167 2938 M (109) [50 50 1]X 4317 2938 M ( ) [1]X 942 3111 M (4.5) [50 25 1]X 1067 3111 M ( ) [1]X 1092 3111 M (Evaluation of match\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [61 50 44 28 50 44 28 28 50 50 25 50 33 25 78 44 28 44 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4152 3111 M ( ) [1]X 4167 3111 M (110) [50 50 1]X 4317 3111 M ( ) [1]X 1092 3283 M (4.5.1) [50 25 50 25 1]X 1292 3283 M ( ) [1]X 1392 3283 M (Confidence level of match\205\205\205\205\205\205\205\205\205\205\205\205\205) [67 50 50 33 28 50 44 50 44 44 25 28 44 50 44 28 25 50 33 25 78 44 28 44 50 100 100 100 100 100 100 100 100 100 100 100 100 1]X 3748 3283 M (\205\205\205\205) [100 100 100 1]X 4148 3283 M ( ) [1]X 4167 3283 M (110) [50 50 1]X 4317 3283 M ( ) [1]X 1092 3456 M (4.5.2) [50 25 50 25 1]X 1292 3456 M ( ) [1]X 1392 3456 M (Evaluation rules\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [61 50 44 28 50 44 28 28 50 50 25 33 50 28 44 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4144 3456 M ( ) [1]X 4167 3456 M (112) [50 50 1]X 4317 3456 M ( ) [1]X 942 3628 M (4.6) [50 25 1]X 1067 3628 M ( ) [1]X 1092 3628 M (System Evaluation and experimental results\205\205\205\205\205\205\205\205\205\205\205\205\205) [56 47 39 28 44 78 25 61 50 44 28 50 44 28 28 50 50 25 44 50 50 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4144 3628 M ( ) [1]X 4167 3628 M (118) [50 50 1]X 4317 3628 M ( ) [1]X 1092 3800 M (4.6.1) [50 25 50 25 1]X 1292 3800 M ( ) [1]X 1392 3800 M (Evaluation of coarse shape classification\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 28 50 44 28 28 50 50 25 50 33 25 44 50 44 33 39 44 25 39 50 44 50 44 25 44 28 44 39 39 28 33 28 44 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 1]X 4141 3800 M ( ) [1]X 4167 3800 M (118) [50 50 1]X 4317 3800 M ( ) [1]X 1092 3973 M (4.6.2) [50 25 50 25 1]X 1292 3973 M ( ) [1]X 1392 3973 M (Evaluation of detail content classification\205\205\205\205\205\205\205\205\205\205\205) [61 50 44 28 50 44 28 28 50 50 25 50 33 25 50 44 28 44 28 28 25 44 50 50 28 44 50 28 25 44 28 44 39 39 28 33 28 44 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 1]X 4151 3973 M ( ) [1]X 4167 3973 M (122) [50 50 1]X 4317 3973 M ( ) [1]X 942 4145 M (4.7) [50 25 1]X 1067 4145 M ( ) [1]X 1092 4145 M (Summary\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205) [56 50 78 78 44 33 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 3578 4145 M (\205\205\205\205\205...) [100 100 100 100 100 25 25 1]X 4153 4145 M ( ) [1]X 4167 4145 M (122) [50 50 1]X 4317 4145 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 942 4319 M ( ) [1]X 792 4522 M (5.) [50 1]X 867 4522 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 942 4522 M (Conclusion and future work) [96 67 74 59 37 74 52 37 67 74 33 67 74 74 33 44 74 44 74 59 59 33 98 67 59 1]X 2544 4522 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 4167 4522 M (124) [50 50 1]X 4317 4522 M ( ) [1]X [100 0 0 -100 0 0]/_Times-Roman MF 942 4719 M (5.1) [50 25 1]X 1067 4719 M ( ) [1]X 1092 4719 M ( Conclusion\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205...) [25 67 50 50 44 28 50 39 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4148 4719 M ( ) [1]X 4167 4719 M (124) [50 50 1]X 4317 4719 M ( ) [1]X 942 4892 M (5.2) [50 25 1]X 1067 4892 M ( ) [1]X 1092 4892 M ( Future work\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [25 55 50 28 50 33 44 25 72 50 33 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4157 4892 M ( ) [1]X 4167 4892 M (126) [50 50 1]X 4317 4892 M ( ) [1]X 1092 5064 M (5.2.1) [50 25 50 25 1]X 1292 5064 M ( ) [1]X 1392 5064 M (Statistical analysis of anatomical shapes\205\205\205\205\205\205\205\205\205\205\205..) [56 28 44 28 28 39 28 28 44 44 28 25 44 50 44 28 47 39 28 39 25 50 33 25 44 50 44 28 50 78 28 44 44 28 25 39 50 44 50 44 39 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4143 5064 M ( ) [1]X 4167 5064 M (126) [50 50 1]X 4317 5064 M ( ) [1]X 1092 5236 M (5.2.2) [50 25 50 25 1]X 1292 5236 M ( ) [1]X 1392 5236 M (Medical image index\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [89 44 50 28 44 44 28 25 28 78 44 49 44 25 28 50 50 44 51 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4160 5236 M ( ) [1]X 4167 5236 M (126) [50 50 1]X 4317 5236 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 5441 M ( ) [1]X 792 5671 M (Reference) [96 59 44 59 59 59 74 59 1]X 1360 5671 M ( ) [1]X 1392 5671 M ( ) [1]X [100 0 0 -100 0 0]/Times-Bold MF 4167 5671 M (129) [50 50 1]X [100 0 0 -100 0 0]/_Times-Roman MF 4317 5671 M ( ) [1]X [133 0 0 -133 0 0]/Times-Roman MF 4392 5671 M ( ) [1]X showpage %%Page: 9 9 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4342 6168 M (9) [1]X 792 583 M ( ) [1]X 1092 755 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 1010 M (L) [1]X 881 1010 M (ist of Figures) [37 52 44 33 67 44 33 81 37 67 74 59 59 1]X 1620 1010 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1208 M ( ) [1]X 792 1380 M ( ) [1]X 792 1551 M (2) [1]X 842 1551 M (-) [1]X 875 1551 M (1) [1]X 925 1551 M ( ) [1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 1092 1551 M (General levels in an image analysis system\205\205\205\205\205\205\205\205\205\205\205\205\205..) [72 44 50 44 33 44 28 25 28 44 50 44 28 39 25 28 50 25 44 50 25 28 78 44 49 44 25 44 50 44 28 47 39 28 39 25 39 47 39 28 44 78 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4149 1551 M ( ) [1]X 4167 1551 M (14) [50 1]X 4267 1551 M ( ) [1]X 792 1666 M ( ) [1]X 792 1781 M (2) [1]X 842 1781 M (-) [1]X 875 1781 M (2) [1]X 925 1781 M ( ) [1]X 1092 1781 M (Representation of an object) [67 44 50 33 44 39 44 50 28 44 28 28 50 50 25 50 33 25 44 50 25 50 50 28 44 44 1]X 2187 1781 M (-) [1]X 2220 1781 M (oriented knowledge model\205\205\205\205\205\205\205\205.. ) [50 33 28 44 50 28 44 50 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 100 100 100 100 100 100 100 100 25 25 1]X 4159 1781 M ( ) [1]X 4167 1781 M (23) [50 1]X 4267 1781 M ( ) [1]X 792 1896 M ( ) [1]X 792 2011 M (2) [1]X 842 2011 M (-) [1]X 875 2011 M (2) [1]X 925 2011 M ( ) [1]X 1092 2011 M (Illustration of matching the spatial relations using the pelvis model\205\205\205..) [31 28 28 50 39 28 33 44 28 28 50 50 25 50 33 25 78 44 28 44 50 28 50 49 25 28 50 44 25 39 50 44 28 28 44 28 25 33 44 28 44 28 28 50 50 39 25 50 39 28 50 49 25 28 50 44 25 50 44 28 50 28 39 25 78 50 50 44 28 100 100 100 25 1]X 4112 2011 M ( ) [1]X 4167 2011 M (29) [50 1]X 4267 2011 M ( ) [1]X 792 2126 M ( ) [1]X 792 2241 M (2) [1]X 842 2241 M (-) [1]X 875 2241 M (4 ) [50 25 1]X 975 2241 M ( ) [1]X 1092 2241 M (Fuzzy membership fun) [55 50 45 45 47 25 78 44 78 50 44 33 39 50 28 50 25 33 50 1]X 2011 2241 M (ctions of the gray) [44 28 28 50 50 39 25 50 33 25 28 50 44 25 49 33 44 1]X 2703 2241 M (-) [1]X 2736 2241 M (level attribute\205\205\205\205\205\205\205\205..) [28 44 50 44 28 25 44 28 28 33 28 50 50 28 44 100 100 100 100 100 100 100 100 25 1]X 4138 2241 M ( ) [1]X 4167 2241 M (31) [50 1]X 4267 2241 M ( ) [1]X 792 2356 M ( ) [1]X 792 2470 M (2) [1]X 842 2470 M (-) [1]X 875 2470 M (5 ) [50 25 1]X 975 2470 M ( ) [1]X 1092 2470 M (Illustration of designing the chest model\205\205\205\205\205\205\205\205\205\205\205\205\205\205. ) [31 28 28 50 39 28 33 44 28 28 50 50 25 50 33 25 50 44 39 28 49 50 28 50 49 25 28 50 44 25 44 50 44 39 28 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4151 2470 M ( ) [1]X 4167 2470 M (33) [50 1]X 4267 2470 M ( ) [1]X 792 2585 M ( ) [1]X 792 2700 M (2) [1]X 842 2700 M (-) [1]X 875 2700 M (6) [1]X 925 2700 M ( ) [1]X 1092 2700 M (The semantic networks of the chest model\205\205\205\205\205\205\205\205\205\205\205\205\205...) [61 50 44 25 39 44 78 44 50 28 28 44 25 50 44 28 72 50 33 50 39 25 50 33 25 28 50 44 25 44 50 44 39 28 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4153 2700 M ( ) [1]X 4167 2700 M (34) [50 1]X 4267 2700 M ( ) [1]X 792 2815 M ( ) [1]X 792 2930 M (2) [1]X 842 2930 M (-) [1]X 875 2930 M (7) [1]X 925 2930 M ( ) [1]X 1092 2930 M (The class diagrams of the chest model\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 25 44 28 44 39 39 25 50 28 44 49 33 44 78 39 25 50 33 25 28 50 44 25 44 50 44 39 28 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4141 2930 M ( ) [1]X 4167 2930 M (34) [50 1]X 4267 2930 M ( ) [1]X 792 3045 M ( ) [1]X 792 3160 M (2) [1]X 842 3160 M (-) [1]X 875 3160 M (8) [1]X 925 3160 M ( ) [1]X 1092 3160 M (The expe) [61 50 44 25 44 51 50 1]X 1461 3160 M (rimental results of a chest radiograph\205\205\205\205\205\205\205\205\205\205\205\205) [33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 25 50 33 25 44 25 44 50 44 39 28 25 33 44 50 28 50 49 33 44 50 50 100 100 100 100 100 100 100 100 100 100 100 1]X 4143 3160 M ( ) [1]X 4167 3160 M (38) [50 1]X 4267 3160 M ( ) [1]X 792 3275 M ( ) [1]X 792 3390 M (2) [1]X 842 3390 M (-) [1]X 875 3390 M (9 ) [50 1]X 950 3390 M ( ) [1]X 1092 3390 M (More experimental results of chest radiographs\205\205\205\205\205\205\205\205\205\205\205...) [89 50 33 44 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 25 50 33 25 44 50 44 39 28 25 33 44 50 28 50 49 33 44 50 50 39 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4149 3390 M ( ) [1]X 4167 3390 M (39) [50 1]X 4267 3390 M ( ) [1]X 792 3505 M ( ) [1]X 792 3620 M (2) [1]X 842 3620 M (-) [1]X 875 3620 M (10 ) [50 50 25 1]X 1025 3620 M ( ) [1]X 1092 3620 M (Illustration of designing of the pelvis model\205\205\205\205\205\205\205\205\205\205\205\205\205) [31 28 28 50 39 28 33 44 28 28 50 50 25 50 33 25 50 44 39 28 49 50 28 50 49 25 50 33 25 28 50 44 25 50 44 28 50 28 39 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4143 3620 M ( ) [1]X 4167 3620 M (42) [50 1]X 4267 3620 M ( ) [1]X 792 3734 M ( ) [1]X 792 3849 M (2) [1]X 842 3849 M (-) [1]X 875 3849 M (11 ) [50 50 25 25 1]X 1050 3849 M ( ) [1]X 1092 3849 M (The class diagram of the pelvis model\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 25 44 28 44 39 39 25 50 28 44 49 33 44 78 25 50 33 25 28 50 44 25 50 44 28 50 28 39 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4136 3849 M ( ) [1]X 4167 3849 M (43) [50 1]X 4267 3849 M ( ) [1]X 792 3964 M ( ) [1]X 792 4079 M (2) [1]X 842 4079 M (-) [1]X 875 4079 M (12 ) [50 50 25 1]X 1025 4079 M ( ) [1]X 1092 4079 M (The experimental results of pelvis radiographs\205\205\205\205\205\205\205\205\205\205\205\205) [61 50 44 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 25 50 33 25 50 44 28 50 28 39 25 33 44 50 28 50 49 33 44 50 50 39 100 100 100 100 100 100 100 100 100 100 100 1]X 4147 4079 M ( ) [1]X 4167 4079 M (45) [50 1]X 4267 4079 M ( ) [1]X 792 4194 M ( ) [1]X 792 4309 M (2) [1]X 842 4309 M (-) [1]X 875 4309 M (13 ) [50 50 25 1]X 1025 4309 M ( ) [1]X 1092 4309 M (The experimental results of knee radiographs\205\205\205\205\205\205\205\205\205\205\205\205..) [61 50 44 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 25 50 33 25 50 50 44 44 25 33 44 50 28 50 49 33 44 50 50 39 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4146 4309 M ( ) [1]X 4167 4309 M (46) [50 1]X 4267 4309 M ( ) [1]X 792 4424 M ( ) [1]X 792 4539 M (2) [1]X 842 4539 M (-) [1]X 875 4539 M (14 ) [50 50 25 1]X 1025 4539 M ( ) [1]X 1092 4539 M (The experimental results of ankle radiographs\205\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 25 50 33 25 44 50 50 28 44 25 33 44 50 28 50 49 33 44 50 50 39 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4149 4539 M ( ) [1]X 4167 4539 M (47) [50 1]X 4267 4539 M ( ) [1]X 792 4654 M ( ) [1]X 792 4769 M (2) [1]X 842 4769 M (-) [1]X 875 4769 M (15) [50 1]X 975 4769 M ( ) [1]X 1092 4769 M (The experimental results of elbow radiogr) [61 50 44 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 25 50 33 25 44 28 50 50 72 25 33 44 50 28 50 49 1]X 2769 4769 M (aphs\205\205\205\205\205\205\205\205\205\205\205\205) [44 50 50 39 100 100 100 100 100 100 100 100 100 100 100 1]X 4152 4769 M ( ) [1]X 4167 4769 M (48) [50 1]X 4267 4769 M ( ) [1]X 792 4883 M ( ) [1]X 792 4998 M (3) [1]X 842 4998 M (-) [1]X 875 4998 M (1) [1]X 925 4998 M ( ) [1]X 1117 4998 M (Initial contour configurations for open and closed contours\205\205\205\205\205\205...) [31 50 28 28 28 44 28 25 44 50 50 28 50 50 33 25 44 50 50 33 28 49 50 33 44 28 28 50 50 39 25 33 50 33 25 50 50 44 50 25 44 50 50 25 44 28 50 39 44 50 25 44 50 50 28 50 50 33 39 100 100 100 100 100 100 25 25 1]X 4138 4998 M ( ) [1]X 4167 4998 M (60) [50 1]X 4267 4998 M ( ) [1]X 792 5113 M (`) [1]X 824 5113 M ( ) [1]X 792 5228 M (3) [1]X 842 5228 M (-) [1]X 875 5228 M (2) [1]X 925 5228 M ( ) [1]X 1117 5228 M (The construction of a region model\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 25 44 50 50 39 28 33 50 44 28 28 50 50 25 50 33 25 44 25 33 44 49 28 50 50 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4147 5228 M ( ) [1]X 4167 5228 M (68) [50 1]X 4267 5228 M ( ) [1]X 792 5343 M ( ) [1]X 792 5458 M (3) [1]X 842 5458 M (-) [1]X 875 5458 M (3) [1]X 925 5458 M ( ) [1]X 1117 5458 M (The definition of ROI \205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [61 50 44 25 50 44 33 28 50 28 28 28 50 50 25 50 33 25 67 72 31 25 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4164 5458 M ( ) [1]X 4167 5458 M (70) [50 1]X 4267 5458 M ( ) [1]X 792 5573 M ( ) [1]X 792 5688 M (3) [1]X 842 5688 M (-) [1]X 875 5688 M (4) [1]X 925 5688 M ( ) [1]X 1117 5688 M (The different external forces acting on the snake model) [61 50 44 25 50 28 33 33 44 33 44 50 28 25 44 51 28 44 33 50 44 28 25 33 50 33 44 44 39 25 44 44 28 28 50 49 25 50 50 25 28 50 44 25 39 50 44 50 44 25 78 50 50 44 1]X 3322 5688 M ( \205\205\205\205\205\205\205\205) [25 100 100 100 100 100 100 100 1]X 4147 5688 M ( ) [1]X 4167 5688 M (72) [50 1]X 4267 5688 M ( ) [1]X 792 5803 M ( ) [1]X showpage %%Page: 10 10 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (10) [50 1]X 792 582 M (3) [1]X 842 582 M (-) [1]X 875 582 M (5) [1]X 925 582 M ( ) [1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 1117 582 M (The internal energy model\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205...) [61 50 44 25 28 50 28 44 33 50 44 28 25 44 50 44 33 49 47 25 78 50 50 44 28 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4144 582 M ( ) [1]X 4167 582 M (74) [50 1]X 4267 582 M ( ) [1]X 792 697 M ( ) [1]X 792 812 M (3) [1]X 842 812 M (-) [1]X 875 812 M (6) [1]X 925 812 M ( ) [1]X 1117 812 M (Level Set formulation of motion\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [59 44 50 44 28 25 56 44 28 25 33 50 33 78 50 28 44 28 28 50 50 25 50 33 25 78 50 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4134 812 M ( ) [1]X 4167 812 M (78) [50 1]X 4267 812 M ( ) [1]X 792 927 M ( ) [1]X 792 1042 M (3) [1]X 842 1042 M (-) [1]X 875 1042 M (7) [1]X 925 1042 M ( ) [1]X 1117 1042 M (The comparisons of different methods working on a synthetic image\205\205\205) [61 50 44 25 44 50 78 50 44 33 28 39 50 50 39 25 50 33 25 50 28 33 33 44 33 44 50 28 25 78 44 28 50 50 50 39 25 72 50 33 50 28 50 49 25 50 50 25 44 25 39 47 50 28 50 44 28 28 44 25 28 78 44 49 44 100 100 1]X 4144 1042 M ( ) [1]X 4167 1042 M (81) [50 1]X 4267 1042 M ( ) [1]X 792 1157 M ( ) [1]X 792 1271 M (3) [1]X 842 1271 M (-) [1]X 875 1271 M (8) [1]X 925 1271 M ( ) [1]X 1117 1271 M (The experimental result of a DSA image\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 25 50 33 25 44 25 72 56 72 25 28 78 44 49 44 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4161 1271 M ( ) [1]X 4167 1271 M (83) [50 1]X 4267 1271 M ( ) [1]X 792 1386 M ( ) [1]X 792 1501 M (3) [1]X 842 1501 M (-) [1]X 875 1501 M (9) [1]X 925 1501 M ( ) [1]X 1117 1501 M (The e) [61 50 44 25 1]X 1341 1501 M (xperimental result of a X) [51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 25 50 33 25 44 25 1]X 2340 1501 M (-) [1]X 2373 1501 M (ray teeth image\205\205\205\205\205\205\205\205\205\205\205...) [33 44 47 25 28 44 44 28 50 25 28 78 44 49 44 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4159 1501 M ( ) [1]X 4167 1501 M (83) [50 1]X 4267 1501 M ( ) [1]X 792 1616 M ( ) [1]X 792 1731 M (3) [1]X 842 1731 M (-) [1]X 875 1731 M (10) [50 1]X 975 1731 M ( ) [1]X 1117 1731 M (The lung region detection of a chest radiograph\205\205\205\205\205\205\205\205\205\205\205..) [61 50 44 25 28 50 50 49 25 33 44 49 28 50 50 25 50 44 28 44 44 28 28 50 50 25 50 33 25 44 25 44 50 44 39 28 25 33 44 50 28 50 49 33 44 50 50 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4157 1731 M ( ) [1]X 4167 1731 M (83) [50 1]X 4267 1731 M ( ) [1]X 792 1846 M ( ) [1]X 792 1961 M (3) [1]X 842 1961 M (-) [1]X 875 1961 M (11) [50 1]X 975 1961 M ( ) [1]X 1117 1961 M (The contour detection of a wrist radiograph\205\205\205\205\205\205\205\205\205\205\205\205\205) [61 50 44 25 44 50 50 28 50 50 33 25 50 44 28 44 44 28 28 50 50 25 50 33 25 44 25 72 33 28 39 28 25 33 44 50 28 50 49 33 44 50 50 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4151 1961 M ( ) [1]X 4167 1961 M (84) [50 1]X 4267 1961 M ( ) [1]X 792 2076 M ( ) [1]X 792 2191 M (3) [1]X 842 2191 M (-) [1]X 875 2191 M (12 The contour detection of a knee radiograph\205\205\205\205\205\205\205\205\205\205\205\205\205.) [50 50 25 25 25 25 25 61 50 44 25 44 50 50 28 50 50 33 25 50 44 28 44 44 28 28 50 50 25 50 33 25 44 25 50 50 44 44 25 33 44 50 28 50 49 33 44 50 50 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4147 2191 M ( ) [1]X 4167 2191 M (84) [50 1]X 4267 2191 M ( ) [1]X 792 2306 M ( ) [1]X 792 2420 M (3) [1]X 842 2420 M (-) [1]X 875 2420 M (13 ) [50 50 25 1]X 1025 2420 M ( ) [1]X 1092 2420 M (The contour detection of a ankle radiograph\205\205\205\205\205\205\205\205\205\205\205\205\205) [61 50 44 25 44 50 50 28 50 50 33 25 50 44 28 44 44 28 28 50 50 25 50 33 25 44 25 44 50 50 28 44 25 33 44 50 28 50 49 33 44 50 50 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4142 2420 M ( ) [1]X 4167 2420 M (84) [50 1]X 4267 2420 M ( ) [1]X 792 2535 M ( ) [1]X 792 2650 M (4) [1]X 842 2650 M (-) [1]X 875 2650 M (1) [1]X 925 2650 M ( ) [1]X 1092 2650 M (Sample images from medical image databases\205\205\205\205\205\205\205\205\205\205\205\205.) [56 44 78 50 28 44 25 28 78 44 49 44 39 25 33 33 50 78 25 78 44 50 28 44 44 28 25 28 78 44 49 44 25 50 44 28 44 50 44 39 44 39 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4159 2650 M ( ) [1]X 4167 2650 M (89) [50 1]X 4267 2650 M ( ) [1]X 792 2765 M ( ) [1]X 792 2880 M (4) [1]X 842 2880 M (-) [1]X 875 2880 M (2) [1]X 925 2880 M ( ) [1]X 1092 2880 M (Architecture of the classification system\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [72 33 44 50 28 28 44 44 28 50 33 44 25 50 33 25 28 50 44 25 44 28 44 39 39 28 33 28 44 44 28 28 50 50 25 39 47 39 28 44 78 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4147 2880 M ( ) [1]X 4167 2880 M (92) [50 1]X 4267 2880 M ( ) [1]X 792 2995 M ( ) [1]X 792 3110 M (4) [1]X 842 3110 M (-) [1]X 875 3110 M (3) [1]X 925 3110 M ( ) [1]X [92 0 0 -92 0 0]/Times-Roman MF 1092 3110 M (Illustration of ) [29 26 26 46 36 26 31 41 26 26 46 46 23 46 31 1]X [100 0 0 -100 0 0]/_Times-Roman MF 1620 3110 M (the histogram of edge directions\205\205\205\205\205\205\205\205\205\205\205\205..) [28 50 44 25 50 28 39 28 50 49 33 44 78 25 50 33 25 44 50 49 44 25 50 28 33 44 44 28 28 50 50 39 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4155 3110 M ( ) [1]X 4167 3110 M (97) [50 1]X 4267 3110 M ( ) [1]X 792 3225 M ( ) [1]X 792 3340 M (4) [1]X 842 3340 M (-) [1]X 875 3340 M (4) [1]X 925 3340 M ( ) [1]X 1092 3340 M (The histogram template and their corresponding images\205\205\205\205\205\205\205\205.) [61 50 44 25 50 28 39 28 50 49 33 44 78 25 28 44 78 50 28 44 28 44 25 44 50 50 25 28 50 44 28 33 25 44 50 33 33 44 39 50 50 50 50 28 50 49 25 28 78 44 49 44 39 100 100 100 100 100 100 100 100 1]X 4144 3340 M ( ) [1]X 4167 3340 M (100) [50 50 1]X 4317 3340 M ( ) [1]X 792 3455 M ( ) [1]X 792 3569 M (4) [1]X 842 3569 M (-) [1]X 875 3569 M (5) [1]X 925 3569 M ( ) [1]X 1092 3569 M (Typical shape images from the medical image database and their edge direction ) [61 47 50 28 44 44 28 25 39 50 44 50 44 25 28 78 44 49 44 39 25 33 33 50 78 25 28 50 44 25 78 44 50 28 44 44 28 25 28 78 44 49 44 25 50 44 28 44 50 44 39 44 25 44 50 50 25 28 50 44 28 33 25 44 50 49 44 25 50 28 33 44 44 28 28 50 50 1]X 1092 3684 M (histograms\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [50 28 39 28 50 49 33 44 78 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4155 3684 M ( ) [1]X 4167 3684 M (101) [50 50 1]X 4317 3684 M ( ) [1]X 792 3799 M ( ) [1]X 792 3914 M (4) [1]X 842 3914 M (-) [1]X 875 3914 M (6) [1]X 925 3914 M ( ) [1]X 1092 3914 M (Structure of the proposed neural networks\205\205\205\205\205\205\205\205\205\205\205\205\205...) [56 28 33 50 44 28 50 33 44 25 50 33 25 28 50 44 25 50 33 50 50 50 39 44 50 25 50 44 50 33 44 28 25 50 44 28 72 50 33 50 39 100 100 100 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4144 3914 M ( ) [1]X 4167 3914 M (102) [50 50 1]X 4317 3914 M ( ) [1]X 792 4029 M ( ) [1]X 792 4144 M (4) [1]X 842 4144 M (-) [1]X 875 4144 M (7) [1]X 925 4144 M ( ) [1]X 1092 4144 M (The) [61 50 1]X 1247 4144 M ( ankle and leg images\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [25 44 50 50 28 44 25 44 50 50 25 28 44 49 25 28 78 44 49 44 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4160 4144 M ( ) [1]X 4167 4144 M (104) [50 50 1]X 4317 4144 M ( ) [1]X 792 4259 M ( ) [1]X 792 4374 M (4) [1]X 842 4374 M (-) [1]X 875 4374 M (8) [1]X 925 4374 M ( ) [1]X 1092 4374 M (Illustration of matching a knowledge model to an image\205\205\205\205\205\205\205\205.) [31 28 28 50 39 28 33 44 28 28 50 50 25 50 33 25 78 44 28 44 50 28 50 49 25 44 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 25 28 50 25 44 50 25 28 78 44 49 44 100 100 100 100 100 100 100 100 1]X 4154 4374 M ( ) [1]X 4167 4374 M (106) [50 50 1]X 4317 4374 M ( ) [1]X 792 4489 M ( ) [1]X 792 4604 M (4) [1]X 842 4604 M (-) [1]X 875 4604 M (9) [1]X 925 4604 M ( ) [1]X 1092 4604 M (The knowledge models\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4148 4604 M ( ) [1]X 4167 4604 M (113) [50 50 1]X 4317 4604 M ( ) [1]X 792 4718 M ( ) [1]X 792 4833 M (4) [1]X 842 4833 M (-) [1]X 875 4833 M (10) [50 1]X 975 4833 M ( ) [1]X 1092 4833 M (The regression analysis of neural networks\205\205\205\205\205\205\205\205\205\205\205\205\205..) 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[61 50 44 25 78 44 28 44 50 25 50 44 33 33 50 33 78 44 50 44 44 25 50 33 25 50 28 33 33 44 33 44 50 28 25 44 50 50 28 44 25 28 78 44 49 44 39 100 100 100 100 100 100 100 100 100 100 25 25 1]X 4143 2202 M ( ) [1]X 4167 2202 M (116) [50 50 1]X 4317 2202 M ( ) [1]X 792 2317 M ( ) [1]X 792 2432 M (4) [1]X 842 2432 M (-) [1]X 875 2432 M (3) [1]X 925 2432 M ( ) [1]X 1092 2432 M (The reevaluati) [61 50 44 25 33 44 44 50 44 28 50 44 28 1]X 1665 2432 M (on results of ankle images\205\205\205\205\205\205\205\205\205\205\205\205\205\205..) [50 50 25 33 44 39 50 28 28 39 25 50 33 25 44 50 50 28 44 25 28 78 44 49 44 39 100 100 100 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4157 2432 M ( ) [1]X 4167 2432 M (117) [50 50 1]X 4317 2432 M ( ) [1]X 792 2547 M ( ) [1]X 792 2662 M (4) [1]X 842 2662 M (-) [1]X 875 2662 M (4) [1]X 925 2662 M ( ) [1]X 1092 2662 M (The performance of the neural networks \205\205\205\205\205\205\205\205\205\205\205\205\205\205.) [61 50 44 25 50 44 33 33 50 33 78 44 50 44 44 25 50 33 25 28 50 44 25 50 44 50 33 44 28 25 50 44 28 72 50 33 50 39 25 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1]X 4145 2662 M ( ) [1]X 4167 2662 M (120) [50 50 1]X 4317 2662 M ( ) [1]X 792 2777 M ( ) [1]X 792 2892 M (4) [1]X 842 2892 M (-) [1]X 875 2892 M (5) [1]X 925 2892 M ( ) [1]X 1092 2892 M (The performance of detail content classification\205\205\205\205\205\205\205\205\205\205\205..) [61 50 44 25 50 44 33 33 50 33 78 44 50 44 44 25 50 33 25 50 44 28 44 28 28 25 44 50 50 28 44 50 28 25 44 28 44 39 39 28 33 28 44 44 28 28 50 50 100 100 100 100 100 100 100 100 100 100 100 25 1]X 4151 2892 M ( ) [1]X 4167 2892 M (121) [50 50 1]X 4317 2892 M ( ) [1]X 792 3007 M ( ) [1]X showpage %%Page: 12 12 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (12) [50 1]X 792 582 M ( ) [1]X 792 697 M ( ) [1]X [167 0 0 -167 0 0]/Times-Bold MF 792 877 M ( ) [1]X 792 1260 M ( ) [1]X [200 0 0 -200 0 0]/Times-Bold MF 792 1674 M (Chapter 1:) [144 111 100 111 67 89 89 50 100 1]X 1720 1674 M ( ) [1]X 792 2283 M (Introduction) [78 111 67 89 100 111 111 89 67 56 100 1]X 1882 2283 M ( ) [1]X [167 0 0 -167 0 0]/Times-Bold MF 792 2597 M ( ) [1]X [150 0 0 -150 0 0]/Times-Bold MF 792 2964 M (1.1) [75 38 1]X 980 2964 M ( ) [1]X 1092 2964 M (Significance) [83 42 75 83 42 50 42 67 75 83 67 1]X 1868 2964 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 985 3260 M (Medical images, at the heart of di) [89 44 50 28 44 44 28 32 28 78 45 49 44 39 25 33 44 28 32 28 50 44 32 51 44 44 33 28 32 50 33 32 50 1]X 2369 3260 M (agnosis, therapy treatment, and surgical planning, ) [45 49 50 50 39 28 39 25 32 28 50 44 33 44 51 48 33 28 34 44 44 28 78 44 50 28 25 32 44 50 50 32 39 51 34 49 28 44 44 29 32 50 28 44 50 50 28 50 49 25 1]X 792 3490 M (have undergone tremendous changes in the past two decades. Today they not only have ) [50 44 50 44 33 50 50 50 44 34 49 50 51 44 33 28 33 44 78 44 50 51 50 50 39 33 44 50 44 50 50 44 39 33 28 50 33 28 50 44 33 50 44 39 28 33 28 72 50 33 50 44 44 44 51 44 39 25 33 61 50 50 46 48 33 28 50 46 47 34 50 50 28 33 50 50 29 47 33 51 44 50 45 1]X 792 3720 M (various image modalities \( e.g. X) [50 44 33 28 50 50 39 27 28 78 44 50 44 27 78 50 50 44 28 28 28 28 44 40 27 33 27 44 26 49 25 27 1]X 2132 3720 M (-) [1]X 2166 3720 M (ray Computed Tomography \(CT\), Magnetic Resonance ) [33 46 48 27 67 50 78 50 50 28 44 50 28 61 50 78 50 49 34 44 50 52 48 27 33 67 61 33 25 27 89 45 49 51 44 28 28 44 27 67 44 39 50 50 44 50 45 44 1]X 792 3949 M (Imaging \(MRI\), Ultrasound \(US\), Positi) [32 79 45 49 28 50 49 34 33 89 68 32 33 25 33 72 28 28 33 44 39 51 50 50 50 33 33 72 56 33 25 33 56 50 39 28 28 1]X 2430 3949 M (on Emission Tomography \(PET\), Single Photon ) [50 50 33 61 78 28 38 39 28 50 50 33 61 50 78 50 49 33 44 50 52 48 34 33 56 61 61 33 26 33 56 28 50 49 28 44 33 56 50 50 28 50 50 1]X 792 4179 M (Emission Computed Tomography \(SPECT\), Digital Subtraction Angiography \(DSA\), and ) [61 78 28 39 39 28 50 50 25 67 50 78 50 50 28 44 50 25 61 49 78 50 49 34 44 50 52 48 25 33 56 56 61 67 61 33 25 25 72 28 50 28 28 44 28 25 56 50 50 28 33 44 44 28 28 50 50 25 72 50 49 28 51 49 34 45 50 51 48 25 34 72 56 72 33 25 25 44 50 51 1]X 792 4409 M (Computed Radiograph \(CR\), etc.\) but also can be stored into digital format for further ) [67 50 78 50 50 28 44 50 35 67 44 50 28 50 49 33 44 50 50 35 34 67 67 33 25 35 44 28 44 25 33 35 50 50 28 35 35 44 28 39 49 35 44 44 50 35 50 44 35 39 28 50 33 44 50 35 28 50 28 50 35 50 28 49 28 28 44 28 35 33 50 33 78 44 28 35 33 50 33 35 33 50 33 28 50 44 33 1]X 792 4639 M (processing. The amount of digital medical i) [50 33 50 44 44 39 39 28 51 49 25 32 61 50 44 32 44 78 50 50 50 28 32 50 33 32 50 28 49 28 28 44 28 32 78 44 50 28 44 44 28 32 1]X 2573 4639 M (mage data captured per year in U.S. alone is ) [78 44 50 45 32 50 44 28 44 32 44 44 50 28 50 33 44 50 32 50 44 33 34 48 45 44 33 32 29 50 32 72 25 56 25 32 44 28 50 50 44 32 27 38 1]X 792 4869 M (estimated on the order of petabytes ) [44 39 28 28 78 44 28 44 50 29 50 50 29 28 50 44 29 50 33 51 44 33 29 50 34 29 50 44 28 44 52 48 28 44 39 1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 2243 4869 M (\226) [1]X 2293 4869 M (10) [50 1]X [67 0 0 -67 0 0]/Times-Roman MF 2393 4823 M (15) [34 1]X [100 0 0 -100 0 0]/_Times-Roman MF 2461 4869 M ( bytes ) [29 51 48 28 44 39 1]X 2729 4869 M (\226) [1]X 2779 4869 M (and increases rapidly every year [Wong ) [45 50 50 29 28 50 44 33 44 44 40 44 39 29 33 44 50 28 50 30 48 30 44 50 44 34 48 31 49 45 44 33 29 34 95 50 51 50 1]X 792 5098 M (97].) [50 50 34 1]X 951 5098 M ( ) [1]X 942 5328 M (The related study of medical images is shifting from generation and acquisition of ) [61 50 44 39 33 44 28 44 29 44 50 39 39 28 50 51 48 39 50 33 39 79 45 50 28 44 44 28 39 28 78 44 50 44 39 39 28 39 39 39 50 28 33 28 28 50 49 40 33 33 50 78 39 50 44 50 44 34 44 28 28 50 50 39 44 50 50 39 45 44 51 50 28 39 28 28 28 50 50 39 49 32 1]X 792 5558 M (images to post) [28 78 44 49 44 39 28 28 50 28 50 50 39 1]X 1375 5558 M (-) [1]X 1408 5558 M (processing and manag) [51 33 50 44 44 39 39 28 51 49 29 44 50 50 28 78 44 50 45 1]X 2304 5558 M (ement of medical images, using multimedia clinical ) [44 78 44 50 28 28 50 33 28 78 45 50 28 44 44 28 28 28 78 45 49 44 39 25 28 50 39 28 51 49 28 78 50 28 28 28 78 44 50 28 44 28 44 28 28 50 28 44 44 29 1]X 792 5788 M (information and computer) [28 50 33 50 33 78 44 28 28 50 50 29 44 50 50 29 44 50 78 50 50 28 44 1]X 1843 5788 M (-) [1]X 1876 5788 M (assisted diagnosis. Among most current research topics in this ) [44 39 39 28 39 28 44 50 29 50 28 45 49 50 50 39 28 39 25 29 72 78 50 50 49 29 78 50 39 28 29 44 50 33 33 44 50 28 29 33 44 40 44 44 34 45 50 29 28 50 50 28 44 39 29 28 50 28 28 50 28 38 1]X showpage %%Page: 13 13 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (13) [50 1]X 792 582 M (field, archiving and managing huge volumes of medical images have become more and ) [33 28 44 28 50 25 34 44 34 44 50 28 50 28 50 49 35 44 50 50 34 78 44 51 44 49 28 51 49 34 50 51 50 44 34 50 50 28 50 78 44 39 34 50 33 35 78 44 50 28 44 44 28 34 28 78 45 49 44 39 34 51 44 50 44 34 50 45 44 50 78 44 34 78 50 33 44 35 44 50 51 1]X 792 812 M (more important, because it is core ) [78 50 33 44 34 28 78 50 50 33 28 44 50 28 25 34 51 44 44 44 50 40 45 34 28 28 34 28 39 34 44 50 34 44 1]X 2228 812 M (in health care information technique which is one of ) [28 50 34 51 44 44 28 28 50 34 45 44 33 45 34 28 50 33 50 33 78 44 28 28 50 50 34 28 45 44 50 50 28 50 50 44 35 72 50 28 44 50 34 28 39 34 50 50 45 34 50 34 1]X 792 1042 M (the fast growing segments of the health care market. In particular, the Internet is enabling ) [28 50 44 27 33 44 39 28 27 49 33 50 72 28 51 49 27 39 45 49 78 44 50 29 39 27 50 33 27 28 50 44 27 50 44 44 28 28 50 27 44 44 33 44 27 78 44 33 51 44 28 25 28 31 50 27 50 45 33 28 28 44 50 28 44 33 25 27 28 50 44 28 32 50 28 44 34 50 44 28 27 28 39 27 44 50 44 50 28 28 50 50 1]X 792 1271 M (better communication and collaboration between patients and doctors, which will result ) [50 44 28 28 44 33 35 44 50 78 78 50 50 28 44 44 28 28 50 50 35 44 51 50 35 44 50 28 28 44 50 50 33 44 28 28 50 50 35 50 44 28 72 45 44 50 35 50 44 28 28 44 50 28 39 35 44 50 50 35 50 50 44 28 50 33 39 25 35 72 50 28 44 50 35 72 28 28 28 35 33 44 39 50 28 28 1]X 792 1501 M (in the significant impr) [28 50 25 28 50 44 25 39 28 49 50 28 33 28 44 44 50 28 25 28 78 50 1]X 1677 1501 M (ovement of healthcare as well as the reduction of costs. ) [50 50 44 78 44 50 28 25 50 33 25 50 44 44 28 28 50 44 44 33 44 25 44 39 25 72 44 28 28 25 44 39 25 28 50 44 25 33 44 50 50 44 28 28 50 50 25 50 33 25 44 50 39 28 39 25 1]X 3908 1501 M ( ) [1]X 942 1731 M (The direct benefits of medical information management system includes:) [61 50 44 25 50 28 33 44 44 28 25 50 44 50 44 33 28 28 39 25 50 33 25 78 44 50 28 44 44 28 25 28 50 33 50 33 78 44 28 28 50 50 25 78 44 50 44 49 44 78 44 50 28 25 39 47 39 28 44 78 25 28 50 44 28 50 50 44 39 1]X 3856 1731 M ( ) [1]X %%IncludeFont: Symbol [100 0 0 -100 0 0]/Symbol MF 942 1969 M (\267) [1]X 988 1969 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1092 1969 M (Post) [56 50 39 1]X 1265 1969 M (-) [1]X 1298 1969 M (processing) [50 33 50 44 44 39 39 28 50 1]X 1724 1969 M ( ) [1]X 1285 2198 M (As a part of medical information management system, medical image ) [72 39 61 44 61 50 44 33 28 61 51 33 61 78 44 50 28 44 44 28 62 28 50 33 50 33 78 44 28 28 50 50 61 78 44 50 45 49 44 79 44 51 28 61 40 48 39 28 44 78 25 61 78 44 50 28 45 44 28 61 28 78 44 49 45 1]X 1092 2428 M (classification plays an important role in aut) [44 28 44 39 39 28 33 28 44 44 28 28 50 50 26 50 28 46 48 39 27 44 50 26 28 79 50 50 33 28 44 50 28 26 33 50 28 44 26 28 50 27 44 50 1]X 2827 2428 M (omatically, intelligently and efficiently ) [50 78 44 28 28 45 44 28 29 48 25 26 28 50 28 44 28 28 29 49 44 50 28 30 48 26 44 50 51 26 44 34 33 28 44 28 44 50 28 29 49 1]X 1092 2657 M (post processing images before presenting them to the human user. For example, ) [50 50 39 28 35 50 33 50 44 44 39 39 28 50 49 35 28 78 45 50 44 39 35 50 44 33 50 33 44 35 51 33 44 39 44 50 28 28 51 49 35 28 50 44 78 35 29 50 35 28 50 44 35 50 50 78 44 50 35 50 39 44 33 25 35 55 51 33 35 45 51 44 78 50 28 44 24 1]X 1092 2887 M (through retrieving and comparing the similar images from medical image ) [28 50 33 50 50 49 51 65 33 44 28 33 29 44 50 28 50 50 65 44 50 51 65 44 50 78 50 44 33 28 51 50 65 28 50 44 65 39 28 78 28 28 45 33 65 28 78 45 49 44 40 65 33 33 50 78 65 79 44 50 28 44 45 28 65 28 78 44 50 45 1]X 1092 3117 M (databases, the system enable to automatically set the processed i) [50 44 28 44 50 44 39 44 39 25 45 28 50 44 45 41 48 39 28 44 78 45 45 50 44 50 28 44 45 28 50 45 44 50 28 50 78 44 28 28 44 44 28 29 48 45 40 44 28 45 28 50 44 45 50 33 50 44 44 39 39 44 50 45 1]X 3841 3117 M (mage display ) [78 45 49 44 46 50 28 39 50 28 45 49 1]X 1092 3347 M (parameters, determine the post) [50 44 33 44 78 44 29 44 33 39 25 45 50 44 28 44 33 78 28 50 44 45 29 50 44 45 50 50 39 1]X 2379 3347 M (-) [1]X 2412 3347 M (processing filters, and set corresponding image ) [50 33 50 44 44 39 39 28 51 49 45 33 28 28 28 44 34 39 25 45 44 50 50 45 39 44 28 45 44 50 33 33 44 39 50 50 50 50 28 50 49 45 28 78 45 49 44 1]X 1092 3577 M (acquisition parameters. ) [44 44 50 50 28 39 28 28 28 50 50 25 50 44 33 44 78 44 28 44 33 39 25 25 1]X 2068 3577 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 942 3814 M (\267) [1]X 988 3814 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1092 3814 M (Aiding in diagnosis) [72 28 50 28 50 49 25 28 50 25 50 28 44 49 50 50 39 28 1]X 1874 3814 M ( ) [1]X 1285 4043 M (With the help of medical information management system, we can easily ) [95 28 28 50 44 28 50 44 44 50 44 28 50 44 50 33 44 78 44 50 28 44 44 28 44 28 50 33 50 33 78 44 28 28 50 50 44 78 44 50 45 49 44 79 44 50 28 44 40 48 39 28 44 78 25 44 72 44 45 44 44 50 44 45 44 39 28 29 48 1]X 1092 4273 M (retrieve related patient studies from the databa) [33 44 28 33 28 44 50 44 47 34 44 28 44 28 44 50 47 50 44 28 28 44 50 28 48 39 28 50 50 28 44 39 47 33 33 50 78 47 28 50 44 47 50 44 28 44 50 1]X 3078 4273 M (ses for comparative evaluation, ) [39 44 39 47 33 50 33 47 44 50 78 50 44 34 44 28 28 50 44 47 44 50 45 28 50 44 28 28 50 50 24 1]X 1092 4503 M (validation of diagnosis, and judgment of effectiveness of therapy.) [50 44 28 28 50 44 28 28 50 50 25 50 33 25 50 28 44 49 50 50 39 28 39 25 25 44 50 50 25 28 50 50 49 78 44 50 28 25 50 33 25 44 33 33 44 44 28 28 50 44 50 44 39 39 25 50 33 25 28 50 44 33 44 50 47 1]X 3705 4503 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 942 4741 M (\267) [1]X 988 4741 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1092 4741 M (Teaching and training tools) [61 44 44 44 50 28 50 49 25 44 50 50 25 28 33 44 28 50 28 50 49 25 28 50 50 28 1]X 2186 4741 M ( ) [1]X 1285 4970 M (Continuous education and self) [67 50 50 28 28 50 50 50 50 39 45 44 50 50 44 44 28 28 50 50 45 44 50 50 45 39 44 28 1]X 2558 4970 M (-) [1]X 2591 4970 M (assessment are very important in medicine ) [44 39 39 44 39 39 78 44 50 28 45 44 34 44 45 50 44 35 47 45 28 78 50 50 33 29 44 50 28 45 28 50 45 78 44 50 28 44 28 50 44 1]X 1092 5200 M (domain. Online availability of medical databases opens ne) [50 50 78 44 28 50 25 38 72 50 28 28 50 44 38 44 50 44 28 28 44 50 28 29 28 29 48 38 50 33 38 78 44 50 29 44 44 28 38 50 44 28 44 51 44 39 44 40 38 50 50 44 50 39 38 50 1]X 3516 5200 M (w avenues for aiding ) [72 39 44 50 44 50 50 44 40 38 33 50 34 38 44 28 50 28 50 50 1]X 1092 5429 M (diagnosis, training and teaching. Medical information management forms an ) [50 28 44 49 50 50 39 28 39 25 55 28 33 44 28 50 28 51 49 55 44 50 50 56 28 44 44 44 50 28 51 49 25 55 89 44 50 28 45 44 28 55 28 50 33 50 34 78 44 28 28 50 50 55 78 44 50 44 50 44 78 44 50 28 55 33 50 34 78 39 55 44 50 1]X 1092 5659 M (important part of implementing flexible teaching tools) [28 78 50 50 33 28 44 50 28 25 50 44 33 28 25 50 33 25 28 78 50 28 44 78 44 50 28 28 50 49 25 33 28 44 51 28 50 28 44 25 28 44 44 44 50 28 50 49 25 28 50 50 28 1]X 3262 5659 M ( ) [1]X showpage %%Page: 14 14 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (14) [50 1]X [100 0 0 -100 0 0]/Symbol MF 942 590 M (\267) [1]X 988 590 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1092 590 M (Telemedicine) [61 44 28 44 78 44 50 28 44 28 50 1]X 1635 590 M ( ) [1]X 942 819 M (Medical information management plays a key role in building easy) [89 44 50 28 44 44 28 80 28 50 33 50 33 78 44 28 28 50 50 80 78 44 50 45 49 44 78 44 50 28 80 50 28 46 48 39 80 44 81 50 45 48 80 33 50 29 44 80 28 50 80 50 50 28 28 50 28 50 49 80 44 44 40 1]X 4113 819 M (-) [1]X 4147 819 M (to) [28 1]X 4225 819 M (-) [1]X 4258 819 M (use ) [50 39 45 1]X 792 1049 M (telemedicine system, ) [28 44 28 44 78 44 50 28 44 28 50 44 25 39 47 39 28 44 78 25 1]X 1652 1049 M (by which physicians in small clinics or remote sites ) [50 47 25 72 50 28 44 50 25 50 50 47 39 28 44 28 44 50 39 25 28 50 25 39 78 44 28 28 25 44 28 28 50 28 44 39 25 50 33 25 33 44 78 50 28 44 25 39 28 28 44 39 1]X 3731 1049 M ( ) [1]X 1092 1279 M (can benefit from accessing databases in expert hospitals.) [44 44 50 25 50 44 50 44 33 28 28 25 33 33 50 78 25 44 44 44 44 39 39 28 50 49 25 50 44 28 44 50 44 39 44 39 25 28 50 25 44 51 50 44 33 28 25 50 50 39 50 28 28 44 28 39 1]X 3348 1279 M ( ) [1]X 792 1508 M ( ) [1]X [150 0 0 -150 0 0]/Times-Bold MF 792 1787 M (1.2) [75 38 1]X 980 1787 M ( ) [1]X 1092 1787 M (Research Scope and Goal) [108 67 58 67 75 67 67 83 38 83 67 75 83 67 38 75 83 83 38 117 75 75 1]X 2723 1787 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 985 2083 M (The goal of this research is to provide a systematic framework to automatically ) [61 50 44 46 49 50 44 28 45 50 33 45 28 50 28 39 45 34 44 39 44 45 33 45 50 45 28 39 45 28 50 45 50 33 50 50 28 50 44 45 44 45 41 48 39 28 45 78 44 28 28 44 45 33 33 44 79 44 72 50 33 50 45 28 50 46 44 50 28 50 78 44 28 28 44 44 28 29 49 1]X 792 2313 M (analyze and classify medical images. Du) [44 50 44 30 47 45 44 30 44 50 50 29 44 28 44 39 39 28 35 47 29 79 44 51 28 44 44 28 29 28 78 44 50 44 39 25 29 72 1]X 2438 2313 M (e to the limitation of image sources, the medical ) [44 29 28 50 29 28 50 44 29 28 27 78 28 28 44 28 28 50 50 29 50 33 29 28 78 44 49 44 29 39 50 50 33 44 45 39 25 29 28 50 44 29 78 44 50 28 44 44 28 1]X 792 2543 M (image database used in this research only contains radiographs. However, the designed ) [28 78 44 49 44 36 51 44 28 44 50 44 40 44 36 50 39 44 50 36 28 50 36 28 50 28 39 36 33 44 39 44 44 34 44 50 36 50 50 30 47 37 44 50 50 28 44 29 50 39 36 33 44 50 28 50 50 33 44 50 50 39 25 36 72 50 73 44 50 45 33 25 36 28 50 44 36 50 44 39 28 49 51 44 51 1]X 792 2772 M (framework is not constrained to radiographs, it enables to be extended to other image ) [33 33 44 78 44 72 51 33 50 40 28 39 40 50 50 28 40 44 50 50 39 28 32 44 28 50 44 50 40 28 50 40 33 44 50 28 50 49 34 44 50 50 39 25 40 28 28 39 44 50 44 50 28 44 39 40 28 50 40 50 44 40 44 51 28 44 50 50 44 50 40 27 50 40 50 28 50 44 33 40 28 78 44 50 45 1]X 792 3002 M (modalities.) [78 50 50 44 28 28 28 28 44 39 1]X 1234 3002 M ( ) [1]X 985 3232 M ( ) [1]X 1092 3232 M (To accomplish the goa) [61 50 65 44 45 44 50 78 50 28 28 39 50 65 28 50 44 66 49 51 1]X 2121 3232 M (l, the knowledge of the relevant local anatomy is ) [28 25 65 28 50 44 65 50 50 51 72 28 44 51 49 45 65 50 33 66 28 50 44 65 33 44 29 44 50 44 50 28 65 28 50 45 44 28 66 44 50 44 29 50 79 48 65 28 40 1]X 792 3462 M (commonly introduced into image analysis. In the field of artificial intelligence and ) [44 50 78 78 50 50 29 48 52 28 50 28 33 50 50 50 45 44 50 52 29 50 28 50 52 28 78 44 50 44 52 44 51 44 29 48 39 28 39 25 54 32 50 53 28 50 44 52 33 28 44 28 50 52 50 34 52 44 33 28 28 33 29 44 28 44 28 52 28 51 28 44 28 28 28 49 44 50 45 44 53 44 50 50 1]X 792 3692 M (knowledge) [50 50 50 72 28 44 50 50 1]X 1230 3692 M (-) [1]X 1263 3692 M (based computer vision, the choice of knowledge representation is very ) [51 44 39 44 50 60 44 50 78 51 50 28 44 33 60 50 28 39 28 50 50 25 60 28 50 44 60 44 50 50 28 44 44 60 50 33 60 50 50 50 72 28 44 50 49 44 60 34 44 50 34 44 39 45 50 28 44 28 28 50 50 60 28 39 60 50 44 34 48 1]X 792 3921 M (important to ensure good solutions, but i) [28 78 50 50 33 28 44 50 28 36 28 50 36 44 50 39 50 33 44 36 49 50 50 50 36 39 50 28 50 28 28 50 50 39 24 36 50 50 28 36 1]X 2475 3921 M (t is still a major open issue. Thus one specific ) [28 36 28 38 36 39 28 27 28 27 36 44 36 78 44 28 50 33 36 50 50 44 50 36 28 39 39 50 44 25 36 61 49 50 39 36 50 50 44 36 39 50 44 44 28 33 28 45 1]X 792 4151 M (aim in our study is to propose an efficient and effective way to represent anatomical ) [44 28 78 42 28 50 42 50 50 33 42 39 28 50 51 48 42 28 39 42 28 50 43 50 33 50 50 50 39 44 42 44 50 43 44 33 33 28 44 29 44 50 28 42 44 50 51 42 44 33 34 44 44 28 28 50 44 42 73 46 48 42 28 50 42 33 44 51 33 44 40 44 50 28 42 44 50 44 28 50 78 28 44 44 29 1]X 792 4381 M (knowledge and then combine it with image process routines to classify radiographs.) [50 50 50 72 28 44 50 49 44 25 44 50 50 25 28 50 44 50 25 44 50 78 50 28 50 44 25 28 28 25 72 28 28 50 25 28 78 44 49 44 25 50 33 50 44 44 39 39 25 33 50 50 28 28 50 44 39 25 28 50 25 44 28 44 39 39 28 33 47 25 33 44 50 28 50 49 33 44 50 50 39 1]X 4137 4381 M ( ) [1]X 792 4611 M ( ) [1]X 942 4611 M (Due to the poor quality of radiograph) [72 50 44 29 28 50 29 28 50 44 29 50 50 50 33 29 50 50 44 28 28 29 47 29 51 33 29 33 44 50 28 51 49 33 44 50 1]X 2457 4611 M (s and the large variability of anatomy structures ) [39 29 44 50 50 29 28 50 44 29 28 44 34 49 44 29 50 45 33 28 44 50 28 28 28 29 48 29 50 33 29 44 51 44 28 50 79 49 29 39 28 33 50 44 28 50 33 44 40 1]X 792 4841 M (of the human body, Using a single low) [50 33 39 28 50 44 39 50 50 78 44 50 39 50 50 52 48 25 40 72 39 28 50 49 40 44 39 39 28 50 49 29 44 39 28 50 1]X 2440 4841 M (-) [1]X 2473 4841 M (level image segmentation technique is hard to ) [28 44 51 44 28 39 28 78 44 50 44 39 39 45 49 78 44 50 29 44 28 28 50 50 39 28 44 44 50 50 29 50 50 44 39 28 39 39 50 44 33 50 39 28 51 1]X 792 5071 M (generate the satisfied results. So it is quite reasonable and necessary to take advantage of ) [49 44 51 44 33 44 29 44 28 28 50 45 28 39 44 28 28 39 33 28 44 50 29 33 44 40 50 28 28 39 25 28 56 50 28 28 28 28 28 39 28 50 50 28 28 44 28 33 45 44 39 50 51 44 50 28 44 28 44 50 51 28 50 45 44 44 39 39 45 35 48 28 28 50 28 28 44 51 44 28 44 50 51 44 50 28 45 49 45 28 50 34 1]X 792 5301 M (all useful information obtain) [44 28 28 89 50 39 44 33 50 28 89 28 50 33 50 33 78 44 28 28 50 51 89 50 50 28 44 28 1]X 2126 5301 M (ed from different techniques. However, different ) [44 50 89 33 33 50 78 89 50 28 33 34 45 33 44 50 28 89 28 44 44 50 50 28 50 50 44 39 25 89 72 51 73 44 50 44 33 25 89 50 28 34 33 44 34 44 50 27 1]X 792 5531 M (segmentation techniques will generate different results. In such a situation, the priori ) [39 44 49 78 44 50 29 44 28 28 50 50 45 28 44 44 50 50 28 50 50 44 39 45 72 28 28 28 45 49 44 50 44 33 44 28 44 45 50 28 33 34 44 33 44 50 28 46 33 44 39 50 28 28 39 25 46 31 50 45 39 50 44 50 45 44 45 39 28 28 50 44 28 28 50 50 25 45 28 50 44 45 50 33 28 50 33 27 1]X 792 5761 M (knowledge will be useful to resolve the differences between various techniques. So, as ) [50 50 50 72 28 44 50 50 44 37 72 28 28 28 37 50 44 37 50 39 44 33 50 28 37 28 50 37 33 44 39 50 28 50 44 37 28 50 44 37 50 28 33 33 44 33 44 51 44 44 39 37 50 44 28 72 45 44 50 37 50 44 33 28 50 50 39 37 28 44 45 50 50 28 50 50 44 39 25 37 56 50 25 37 44 38 1]X showpage %%Page: 15 15 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (15) [50 1]X 792 582 M (another specific aim, we design) [44 50 50 28 50 44 33 33 39 50 44 44 28 33 29 44 33 44 28 78 25 33 72 45 33 50 44 39 28 49 1]X 2086 582 M ( a new image segmentation method which benefits from ) [33 44 33 50 44 72 33 28 78 45 49 44 33 39 45 50 78 44 50 28 44 28 28 50 50 33 78 44 28 50 50 50 33 72 50 28 44 50 33 50 44 50 44 33 28 28 39 33 33 33 50 78 1]X 792 812 M (the rich information provided by both image data and the priori knowledge.) [28 50 44 25 33 28 44 50 25 28 50 33 50 33 78 44 28 28 50 50 25 50 33 50 50 28 50 44 50 25 50 47 25 50 50 28 50 25 28 78 44 49 44 25 50 44 28 44 25 44 50 50 25 28 50 44 25 50 33 28 50 33 28 25 50 50 50 72 28 44 50 49 44 1]X 3805 812 M ( ) [1]X 792 1042 M ( ) [1]X [150 0 0 -150 0 0]/Times-Bold MF 792 1321 M (1.3) [75 38 1]X 980 1321 M ( ) [1]X 1092 1321 M (Contribution ) [108 75 83 50 67 42 83 83 50 42 75 83 1]X 1971 1321 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1617 M (We view the contribution of this research in the following areas:) [95 44 25 50 28 44 72 25 28 50 44 25 44 50 50 28 33 28 50 50 28 28 50 50 25 50 33 25 28 50 28 39 25 33 44 39 44 44 33 44 50 25 28 50 25 28 50 44 25 33 50 28 28 50 72 28 50 49 25 44 33 44 44 39 1]X 3365 1617 M ( ) [1]X 942 1846 M (1\)) [50 1]X 1025 1846 M ( ) [1]X 1092 1846 M (Computer Vision and Image Processing:) [67 50 78 50 50 28 44 33 25 72 28 39 28 50 50 25 44 50 50 25 31 78 44 49 44 25 56 33 50 44 44 39 39 28 50 49 1]X 2709 1846 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 2084 M (\267) [1]X 838 2084 M ( ) [1]X %%IncludeFont: Times-Italic [100 0 0 -100 0 0]/Times-Italic MF 942 2084 M (Proposing) [61 39 50 50 50 39 28 50 1]X 1359 2084 M ( a new object) [33 50 33 50 44 67 33 50 50 28 44 44 1]X 1913 2084 M (-) [1]X 1946 2084 M (oriented knowledge model for image analysis:) [50 39 28 44 50 28 44 50 33 44 50 50 67 28 44 50 50 44 33 72 50 51 44 28 33 28 50 39 33 28 72 50 50 44 33 50 50 50 28 44 39 28 39 1]X [100 0 0 -100 0 0]/Times-Roman MF 3838 2084 M ( the proposed ) [33 28 50 44 33 50 33 50 50 50 39 44 50 1]X 942 2313 M (knowledge model provides a framework for abstracting the complex image properties ) [50 50 50 72 28 44 50 50 44 27 78 50 50 44 28 27 50 33 50 50 28 50 44 39 27 44 27 33 33 44 78 45 72 50 33 50 27 33 50 33 27 44 50 39 28 34 44 44 28 28 50 49 27 28 50 44 28 44 50 78 50 28 44 51 27 28 78 44 49 44 27 50 33 50 50 44 33 28 28 45 40 1]X 942 2543 M (at different levels and coping them with the corresponding vision operations in ) [44 28 52 50 28 33 33 44 34 44 50 28 52 28 44 50 44 28 39 52 44 50 50 53 44 50 50 28 50 49 52 28 50 44 78 53 72 28 28 50 52 28 50 44 52 44 50 33 33 44 39 50 50 50 50 28 51 49 52 50 28 39 28 50 50 52 50 51 44 33 44 28 28 50 50 39 52 28 51 1]X 942 2773 M (complex image analysis) [44 50 78 50 28 44 51 25 28 78 44 49 44 25 44 50 44 28 47 39 28 1]X 1899 2773 M ( based on the object) [25 50 44 39 44 50 25 50 50 25 28 50 44 25 50 50 28 44 44 1]X 2692 2773 M (-) [1]X 2725 2773 M (oriented idea.) [50 33 28 44 50 28 44 50 25 28 50 44 44 1]X 3268 2773 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 3011 M (\267) [1]X 838 3011 M ( ) [1]X [100 0 0 -100 0 0]/Times-Italic MF 942 3011 M (Reformulating snake models: ) [61 44 28 50 39 72 50 28 50 28 28 50 50 63 39 50 50 44 44 64 73 50 50 44 28 39 33 1]X [100 0 0 -100 0 0]/Times-Roman MF 2254 3011 M (Aim to overcome the problems suffered by the ) [72 28 78 63 28 50 63 50 51 44 33 44 51 78 44 63 28 50 44 63 50 33 50 50 29 44 78 39 63 39 50 33 34 45 33 44 50 63 52 48 63 28 51 44 1]X 942 3240 M (traditional snake model, the new model demonstrates robust ability in dealing with ) [28 33 44 50 28 28 28 50 50 44 28 38 39 50 44 50 44 38 78 50 50 44 28 25 38 28 50 44 38 50 44 72 38 78 50 50 44 28 38 50 44 78 50 50 39 28 33 44 28 44 39 38 33 50 50 50 39 28 38 44 50 28 28 28 29 47 38 28 50 38 51 44 44 28 28 50 49 38 72 28 28 50 1]X 942 3469 M (the ambiguity in images by introducing a region model which comb) [28 50 44 38 44 78 50 28 49 50 28 30 48 38 28 50 38 28 78 45 49 44 40 38 51 48 38 28 50 28 33 50 50 50 44 28 51 49 39 44 38 33 45 49 28 50 51 38 78 50 50 44 28 38 72 50 28 44 50 38 44 50 78 1]X 3788 3469 M (ines both edge ) [28 50 44 40 38 50 50 28 50 38 44 50 50 44 1]X 942 3699 M (and region information into segmentation.) [44 50 50 25 33 44 49 28 50 50 25 28 50 33 50 33 78 44 28 28 50 50 25 28 50 28 50 25 39 44 49 78 44 50 28 44 28 28 50 50 1]X 2625 3699 M ( ) [1]X 792 3929 M ( ) [1]X 942 4159 M (2\)) [50 1]X 1025 4159 M ( ) [1]X 1092 4159 M (Medical Imaging:) [89 44 50 28 44 44 28 25 31 78 44 49 28 50 49 1]X 1801 4159 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 4397 M (\267) [1]X 838 4397 M ( ) [1]X [100 0 0 -100 0 0]/Times-Italic MF 942 4397 M (Designing the architecture of medical image classification system:) [72 44 39 28 50 50 28 50 50 56 28 50 44 56 50 39 44 50 28 28 45 44 28 50 39 44 56 50 28 56 72 44 50 28 44 50 28 56 28 72 50 51 44 57 44 28 50 39 39 28 28 28 44 50 28 28 50 50 56 39 44 39 28 44 72 1]X [100 0 0 -100 0 0]/Times-Roman MF 3829 4397 M ( To simulate ) [56 62 50 56 39 28 78 50 28 44 28 44 1]X 942 4626 M (human perception behavior, the proposed system is designed as a two) [50 50 78 44 50 68 50 44 33 44 44 50 28 28 50 50 68 50 44 50 45 50 28 50 33 25 68 28 50 44 68 50 33 50 50 50 39 44 50 68 40 47 40 28 44 78 68 28 39 68 50 44 39 28 49 50 44 50 68 44 39 68 44 68 28 72 1]X 4153 4626 M (-) [1]X 4186 4626 M (stage ) [39 28 44 50 45 1]X 942 4855 M (hierarchical structure. It f) [50 28 44 33 44 34 44 50 28 44 44 28 26 39 28 33 51 44 28 50 33 44 26 27 32 28 27 1]X 1963 4855 M (irst focuses on the coarse shape outline of the main object in ) [28 33 39 28 26 33 50 44 50 39 44 40 26 50 50 26 28 50 45 26 44 51 44 33 39 45 26 39 50 44 50 45 26 50 50 28 28 28 50 44 26 50 34 26 28 50 44 26 78 44 29 50 26 50 50 28 44 44 28 26 28 51 1]X 942 5085 M (an image, then goes into the detail information of contents. The whole procedure ) [44 50 43 28 78 45 49 44 25 43 28 50 44 50 44 49 51 44 39 43 28 50 28 50 43 28 50 44 43 50 44 28 44 28 28 43 28 50 33 50 33 78 44 28 28 50 51 43 50 33 43 44 50 50 28 44 50 28 39 25 43 61 50 45 43 72 50 50 28 45 43 50 33 50 44 44 50 51 33 45 1]X 942 5315 M (combines both image information and anatomical knowledge by using an object) [44 50 78 50 28 50 44 39 46 50 50 28 50 46 28 78 44 50 44 46 28 51 33 50 33 78 44 28 28 50 50 46 44 50 50 47 44 50 44 28 50 78 28 45 44 28 46 50 50 50 72 28 44 51 49 44 46 52 48 47 50 39 28 50 49 47 44 50 46 50 50 28 44 44 1]X 4358 5315 M (-) [1]X 942 5545 M (oriented knowledge model.) [50 33 28 44 50 28 44 50 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 1]X 2031 5545 M ( ) [1]X 792 5775 M ( ) [1]X showpage %%Page: 16 16 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (16) [50 1]X [150 0 0 -150 0 0]/Times-Bold MF 792 631 M (1.4) [75 38 1]X 980 631 M ( ) [1]X 1092 631 M (Organizat) [117 67 75 75 83 42 65 75 1]X 1741 631 M (ion of the thesis) [42 75 83 38 75 50 38 50 83 67 38 50 83 67 58 42 1]X 2738 631 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 927 M (We organize this thesis as follows:) [95 44 25 50 33 49 44 50 28 45 44 25 28 50 28 39 25 28 50 44 39 28 39 25 44 39 25 33 50 28 28 50 72 39 1]X 2183 927 M ( ) [1]X 942 1156 M (Chapter 2 proposes ) [67 50 44 50 28 44 33 31 50 31 50 33 50 50 50 39 44 39 1]X 1757 1156 M (a knowledge model for medical image content analysis based on ) [44 31 50 51 50 72 28 44 50 50 44 31 78 50 50 44 28 31 33 51 33 31 78 44 50 29 44 44 28 31 28 78 45 49 44 32 44 50 50 28 44 50 28 31 44 50 44 30 48 40 28 39 31 50 44 39 44 50 31 50 50 1]X 792 1386 M (the object) [28 50 44 26 50 50 28 44 44 1]X 1184 1386 M (-) [1]X 1217 1386 M (oriented paradigm. The new model abstracts common properties from different ) [50 33 28 44 50 29 44 50 26 50 44 34 44 51 28 49 78 25 26 61 50 44 26 50 45 72 26 78 50 50 44 28 26 44 50 39 29 33 44 44 28 39 26 44 50 78 78 50 50 26 50 33 50 50 45 33 28 28 44 39 27 33 33 50 78 26 50 28 33 33 44 34 44 50 27 1]X 792 1616 M (types of medical images by using t) [29 48 50 44 39 32 50 33 32 78 44 50 29 44 44 28 32 28 78 45 49 44 39 33 51 48 32 50 39 28 51 49 32 1]X 2222 1616 M (hree attributes: description, component, and semantic ) [50 33 44 44 33 44 28 28 33 28 50 50 28 44 39 28 32 50 44 39 44 33 28 50 28 28 50 50 25 32 44 50 78 50 50 50 44 50 28 26 32 44 50 50 32 39 44 78 44 50 28 28 44 1]X 792 1846 M (graph, and specifies its actions to schedule the detection procedure, properly deform the ) [49 34 44 50 50 25 32 44 50 50 32 39 50 45 44 28 33 28 44 39 32 28 28 39 32 45 44 28 28 50 50 39 32 28 50 32 39 44 50 44 50 50 28 44 32 28 50 44 32 50 45 28 44 44 28 28 50 50 32 50 33 50 44 44 50 51 33 44 25 32 50 33 50 51 44 34 29 48 32 50 45 33 50 33 78 32 28 50 45 1]X 792 2076 M (model shapes to match the corresponding anatomies in images, select the best match ) [78 50 50 44 28 43 39 50 44 50 44 39 43 28 50 43 79 44 28 44 50 44 28 50 44 43 44 50 34 33 44 39 50 50 50 50 28 51 49 43 44 51 44 28 51 78 28 44 39 43 28 50 43 28 78 44 50 44 39 25 43 39 44 29 44 44 28 43 29 50 44 43 50 44 39 28 43 78 44 29 44 50 1]X 792 2306 M (candidates, and verify the ca) [44 44 50 50 28 50 44 28 44 39 25 28 44 50 50 27 50 45 33 28 35 48 27 28 51 44 27 44 1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 1941 2306 M (ndidates\222 spatial relations with the semantic graph defined in ) [50 50 28 51 44 28 44 39 33 27 39 50 44 28 28 44 28 28 33 44 28 44 29 28 50 50 39 27 72 28 28 50 27 28 50 44 27 39 44 78 44 50 28 28 44 28 49 34 44 50 50 27 50 44 33 28 50 44 51 27 28 50 1]X 792 2535 M (the model.) [28 50 44 25 78 50 50 44 28 1]X 1214 2535 M ( ) [1]X 942 2765 M (Chapter 3 investigates the properties of the snake model in detail and discusses ) [67 50 44 50 28 44 33 49 50 49 28 50 50 44 39 28 29 49 44 28 44 39 49 29 50 44 49 50 33 50 50 45 33 28 28 44 39 49 50 33 49 28 50 44 49 39 51 44 50 44 49 78 50 50 44 28 49 28 50 49 50 44 29 44 28 28 49 44 51 50 49 50 28 39 44 50 39 39 44 39 1]X 792 2995 M (initialization and implementation with respect to the energy minimization framework of ) [28 50 28 28 28 44 28 28 45 44 28 28 50 50 33 44 50 50 33 28 78 50 28 44 77 44 50 28 44 28 28 50 50 33 72 28 28 50 33 33 44 39 51 44 44 28 33 28 51 33 28 50 44 33 44 51 44 34 51 48 33 78 28 50 28 78 28 45 44 28 28 50 50 33 33 33 44 78 44 72 51 33 50 33 51 34 1]X 792 3225 M (the snake mode) [28 50 44 40 39 50 44 50 44 40 78 50 50 1]X 1443 3225 M (l. With the motivation of developing new improved techniques, a new ) [28 25 40 95 28 28 50 40 27 50 44 40 78 50 28 28 50 44 28 28 50 50 40 50 33 40 50 44 50 44 28 50 50 28 50 49 40 50 44 72 40 28 78 50 33 50 50 44 50 40 29 44 44 51 50 28 50 50 44 39 25 40 44 40 50 44 73 1]X 792 3455 M (region model is promoted to ) [33 45 49 28 50 50 34 78 50 50 44 28 34 28 39 34 50 33 50 78 50 28 43 50 34 28 50 1]X 1994 3455 M (combine region and edge information in the segmentation, ) [44 50 78 50 28 50 44 34 33 44 49 28 50 50 34 44 50 51 34 44 50 49 44 34 28 50 33 50 33 79 44 28 28 50 50 34 28 50 34 28 50 43 34 39 44 49 78 44 50 28 44 28 28 50 50 26 1]X 792 3684 M (which directly overcome the problems associated with the initialization. Based on the ) [72 50 28 44 50 41 50 28 33 45 44 28 29 48 41 50 51 44 33 44 50 79 44 41 28 50 44 41 50 33 50 50 29 44 78 39 41 44 39 39 50 44 28 44 28 45 50 41 72 28 28 50 41 28 50 44 41 28 50 28 28 28 44 28 28 45 44 28 28 50 50 24 41 66 44 40 44 50 41 50 50 41 28 51 45 1]X 792 3914 M (proposed region m) [50 33 50 50 50 39 44 50 25 33 44 49 28 50 50 25 1]X 1540 3914 M (odel, we reformulate the traditional snake model and level set models.) [50 50 44 28 25 25 72 44 25 33 44 33 50 33 78 50 28 44 28 44 25 28 50 44 25 28 33 44 50 28 28 28 50 50 44 28 25 39 50 44 50 44 25 78 50 50 44 28 25 44 50 50 25 28 44 50 44 28 25 39 44 28 25 78 50 50 44 28 39 1]X 4341 3914 M ( ) [1]X 942 4144 M (Chapter 4 presents the architecture of knowledge) [67 50 44 50 28 44 33 32 50 32 50 34 44 39 44 50 28 39 32 28 50 44 33 44 34 44 50 28 28 44 44 28 50 33 45 32 50 33 32 50 50 50 72 28 44 51 50 1]X 2945 4144 M (-) [1]X 2979 4144 M (based medical image classification ) [50 44 39 44 50 32 78 44 50 28 45 44 28 32 28 78 45 49 44 33 44 28 45 39 39 28 33 28 44 44 28 28 50 50 1]X 792 4374 M (system, which ) [40 48 39 28 44 78 25 41 72 50 29 44 50 1]X 1421 4374 M (employs both global and local features to classify the input images by ) [44 78 50 28 52 48 39 42 50 50 28 50 41 49 28 50 50 44 28 42 44 50 50 41 28 50 45 44 28 41 33 45 44 28 50 33 44 39 41 28 50 42 44 28 44 39 39 28 35 48 41 28 50 44 41 28 51 50 50 28 41 28 78 44 49 44 40 41 52 49 1]X 792 4604 M (performing a two) [50 44 33 33 50 33 78 28 51 49 27 44 26 28 72 1]X 1488 4604 M (-) [1]X 1521 4604 M (stage processing. The first stage focuses on the global shape features of ) [39 28 45 50 44 26 51 33 50 44 44 39 39 28 51 49 25 26 61 51 44 26 33 28 33 39 28 26 39 29 45 49 45 26 33 50 44 50 39 44 40 26 50 50 26 28 50 45 27 49 28 50 50 44 28 26 39 51 44 50 44 26 34 44 44 28 50 34 44 39 26 50 34 1]X 792 4833 M (objects in processed images. The second stage employs local features to identify salient ) [50 50 28 44 44 28 39 33 28 50 33 50 33 50 45 44 39 39 44 50 33 28 78 45 49 44 39 25 34 61 50 44 33 39 45 44 50 50 50 33 39 28 45 50 44 33 45 78 50 28 51 48 39 33 28 50 44 44 28 34 33 44 44 28 50 34 44 39 33 28 50 34 28 50 44 50 28 28 34 48 33 40 44 28 28 44 50 28 1]X 792 5063 M (component objects in images and incorporates their spatial relation to discard those ) [44 50 78 50 50 50 44 50 28 50 50 50 28 44 44 28 39 50 28 50 50 27 78 44 50 44 39 50 44 50 50 50 28 50 44 50 33 50 50 33 44 28 44 40 50 28 50 44 28 33 50 39 50 44 28 28 44 28 50 33 44 28 44 28 28 50 50 50 27 50 50 50 28 39 44 44 33 50 50 28 50 50 39 44 1]X 792 5293 M (spuriou) [39 50 50 33 28 50 1]X 1092 5293 M (s match candidates.) [39 25 78 44 28 44 50 25 44 44 50 50 28 50 44 28 44 39 1]X 1871 5293 M ( ) [1]X 942 5523 M (Finally, Chapter 5 summarizes the work and suggests future research direction.) [55 28 50 44 28 28 47 25 25 67 50 44 50 28 44 33 25 50 25 39 50 78 78 44 33 28 45 44 39 25 28 50 44 25 72 50 33 50 25 44 50 50 25 39 50 49 49 44 39 28 39 25 33 50 28 50 33 44 25 33 44 39 44 44 33 44 50 25 50 28 33 44 44 28 28 50 50 1]X 4098 5523 M ( ) [1]X 792 5753 M ( ) [1]X showpage %%Page: 17 17 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (17) [50 1]X [167 0 0 -167 0 0]/Times-Bold MF 792 647 M ( ) [1]X 792 1030 M ( ) [1]X [200 0 0 -200 0 0]/Times-Bold MF 792 1444 M (Chapter 2:) [144 111 100 111 67 89 89 50 100 1]X 1720 1444 M ( ) [1]X 792 2054 M (Design of the Object) [144 89 78 56 100 111 56 100 67 55 66 111 89 56 156 111 67 89 88 1]X 2548 2054 M (-) [1]X 2614 2054 M (Oriented Knowledge ) [156 89 56 89 111 66 89 111 56 155 111 101 143 56 89 111 100 89 1]X 792 2399 M (Model for Image Understanding) [189 100 111 89 56 50 67 100 89 50 78 167 100 100 89 50 144 111 111 89 89 78 67 100 111 111 56 111 1]X 3555 2399 M ( ) [1]X [167 0 0 -167 0 0]/Times-Bold MF 792 2713 M ( ) [1]X [150 0 0 -150 0 0]/Times-Bold MF 792 3080 M (2.1) [75 38 1]X 980 3080 M ( ) [1]X 1092 3080 M (Introduction) [58 83 50 67 75 83 83 67 50 42 75 1]X 1908 3080 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 3425 M (The goal of image understanding system often involves the i) [61 50 44 39 49 50 44 28 38 50 33 38 28 78 45 49 44 38 50 50 51 45 33 39 28 44 50 50 28 50 49 38 41 48 39 28 44 78 38 50 33 29 44 50 38 28 50 50 50 28 50 44 39 38 28 50 44 38 1]X 3328 3425 M (dentification of objects in ) [50 44 50 28 28 33 28 44 44 28 28 51 50 38 50 33 38 50 50 28 44 44 28 39 38 28 50 1]X 792 3655 M (images and the establishment of the relationships among the objects. This transformation ) [28 78 44 49 44 39 29 44 50 50 29 28 50 44 29 44 39 28 44 50 28 28 39 51 78 44 50 28 29 50 33 29 28 50 44 29 33 44 28 44 28 28 50 50 39 50 28 50 38 29 44 78 50 50 49 29 28 50 44 29 50 50 28 44 44 28 39 25 29 61 50 28 39 28 28 33 44 50 39 33 50 33 78 44 28 28 50 51 1]X 792 3885 M (of signals \(the images \) to symbols \( the interpretation \) in the visual domain is one of the ) [50 33 26 39 28 49 51 44 28 39 26 33 28 50 44 26 28 78 45 50 44 39 26 34 26 28 50 26 40 48 78 50 50 28 39 26 33 26 28 51 44 26 28 50 28 44 33 51 33 44 29 44 28 28 50 50 26 33 26 28 50 26 28 50 44 26 50 28 39 50 44 29 26 50 50 78 44 28 50 26 28 39 26 50 50 44 26 50 34 26 28 50 45 1]X 792 4115 M (most important and most difficult task in art) [78 50 39 28 46 28 78 50 50 33 28 44 50 28 46 44 50 50 46 78 50 39 28 46 50 28 33 33 28 44 50 28 28 46 28 44 39 50 46 28 50 46 44 33 1]X 2703 4115 M (ificial intelligence. There is no working ) [28 33 29 44 28 44 28 46 28 50 28 44 28 28 28 49 44 51 44 44 25 46 61 51 44 33 45 47 28 39 46 50 50 46 72 50 33 50 28 50 49 1]X 792 4344 M (system yet which comes close to the capabilities of the human visual system. Some ) [40 48 39 28 44 78 47 48 45 28 46 72 50 28 44 50 46 44 50 78 45 39 46 44 28 50 39 44 46 28 50 46 28 50 44 46 44 44 50 44 50 28 28 28 28 27 44 39 46 50 33 46 28 50 44 46 50 50 78 44 50 46 50 28 39 50 44 27 46 40 47 39 29 44 78 25 46 56 50 78 43 1]X 792 4574 M (reasons are:) [33 44 44 39 50 50 39 25 44 33 44 1]X 1265 4574 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 967 4862 M (\267) [1]X 1013 4862 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1117 4862 M (The vision problem is ill) [61 50 44 32 50 28 39 28 50 50 32 50 33 50 50 28 44 78 32 28 38 32 28 28 1]X 2127 4862 M (-) [1]X 2160 4862 M (defined, and its terminology has been under a constant ) [50 44 33 28 50 44 50 25 32 44 50 50 32 28 28 39 32 28 44 33 78 28 50 50 28 50 51 47 32 51 44 39 32 50 44 44 50 32 50 50 50 44 33 32 44 32 45 50 50 39 28 44 50 27 1]X 1117 5091 M (change. ) [44 50 44 50 49 44 25 1]X 1448 5091 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 967 5379 M (\267) [1]X 1013 5379 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1117 5379 M (The way with which human capt) [61 50 44 37 73 46 48 37 72 28 28 50 37 72 50 29 44 50 37 50 51 78 44 50 37 44 44 50 1]X 2486 5379 M (ure image contents, group image features into ) [51 33 44 37 28 78 45 50 44 38 44 50 50 28 44 50 28 39 25 38 49 33 50 50 50 37 28 78 45 50 44 37 34 44 44 28 50 34 44 39 37 28 50 28 51 1]X 1117 5608 M (meaningful objects and attach semantic descriptions to images has not been fully ) [78 44 44 50 28 50 49 33 50 28 25 50 50 28 44 44 28 39 25 44 50 50 25 44 28 28 44 44 50 25 39 44 78 44 50 28 28 44 25 50 44 39 44 33 28 50 28 28 50 50 39 25 28 50 25 28 78 44 49 44 39 25 50 44 39 25 50 50 28 25 50 44 44 50 25 33 50 28 28 47 25 1]X 4394 5608 M ( ) [1]X showpage %%Page: 18 18 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (18) [50 1]X 1092 582 M ( understood to automate the image analysis procedure. ) [25 50 50 50 44 33 39 28 50 50 50 25 28 50 25 44 50 28 50 78 44 28 44 25 28 50 44 25 28 78 44 49 44 25 44 50 44 28 47 39 28 39 25 50 33 50 44 44 50 50 33 44 25 1]X 3287 582 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 967 870 M (\267) [1]X 1013 870 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1117 870 M (Problems arisen in segmenting an image into regions corresponding to ind) [56 33 50 50 28 44 78 39 28 44 33 28 39 44 50 28 28 50 28 39 44 49 78 44 50 28 28 50 49 28 44 50 28 28 78 44 50 44 28 28 50 28 50 28 33 44 49 29 50 50 39 28 44 50 33 33 44 39 50 50 50 50 28 51 49 28 28 50 28 28 50 1]X 4114 870 M (ividual ) [28 50 28 50 50 44 28 1]X 1117 1099 M (objects, extracting features from the image that capture the perceptual and ) [50 50 28 44 44 28 39 25 56 44 51 28 33 44 44 28 28 50 50 56 33 45 44 28 51 33 44 39 56 33 33 50 78 56 28 51 44 56 28 78 45 49 44 56 28 51 44 28 56 44 44 50 28 50 34 44 56 28 50 44 56 51 44 33 45 44 50 28 51 44 28 56 44 50 50 1]X 1117 1329 M (semantic meanings and matching the image with the proposed model based on ) [39 44 78 44 50 28 28 44 37 78 44 44 50 28 51 49 39 38 44 50 50 38 78 44 28 44 50 28 50 49 37 28 51 44 37 28 78 45 49 44 38 72 28 28 50 37 28 50 44 37 50 33 50 50 50 39 44 50 37 78 50 51 44 28 37 51 44 39 44 50 37 50 50 1]X 1117 1558 M (the extracted features make the analysis problem more challenging.) 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[56 50 44 44 28 44 28 28 45 44 50 25 50 33 50 50 28 44 78 25 39 50 28 50 28 50 49 25 78 44 28 50 50 50 39 25 44 44 50 25 50 44 33 50 28 47 25 50 44 25 49 44 50 44 33 44 28 28 45 44 50 1]X 3687 2363 M ( ) [1]X 792 2642 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 2956 M (2.1.1 Our Motivation) [67 33 67 33 67 33 103 74 59 33 126 67 44 37 67 67 44 37 67 1]X 1991 2956 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 3278 M (The algorithmic approach of processing and analyzing digital images has resulted in ) [61 50 44 46 44 29 49 50 33 28 28 50 78 28 44 46 44 50 50 33 51 45 44 50 46 50 33 46 50 33 50 45 44 39 39 28 50 49 47 44 50 50 46 45 50 44 29 48 45 28 50 49 46 50 29 49 28 28 44 28 46 28 78 45 49 44 39 47 50 44 39 46 33 44 39 50 28 28 44 50 46 28 51 1]X 792 3508 M (powerful means) [50 50 72 44 33 33 50 28 40 78 45 44 50 1]X 1448 3508 M ( to interpret specified kinds of images, but failed in providing general ) [40 28 50 40 28 50 28 44 34 50 33 44 28 40 39 50 44 44 28 33 29 44 50 40 50 28 50 50 39 40 50 33 40 29 78 44 50 44 39 25 40 50 50 28 40 33 44 28 28 44 50 40 28 50 40 51 33 51 50 28 50 28 50 49 41 49 44 51 44 33 44 28 1]X 792 3738 M (image understanding methods that can work on all kinds of images. This is mostly due to ) [28 78 44 49 45 27 50 50 50 44 33 39 28 44 50 50 28 51 50 27 78 44 29 50 50 50 39 27 28 50 44 28 27 44 44 50 28 72 50 33 50 27 50 50 28 44 28 28 27 50 28 50 50 39 27 50 33 27 28 78 45 49 44 39 25 27 61 50 28 39 27 28 39 28 78 50 39 28 29 48 27 50 50 44 27 28 51 1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 792 3968 M (the fact that every image can be interpreted in many ways, as long as we don\222t know what ) [28 50 44 25 33 44 44 28 25 28 50 44 28 26 44 50 44 35 48 25 28 78 45 50 44 26 44 44 50 25 50 44 25 28 50 28 45 33 50 33 44 29 44 50 25 28 50 25 78 44 51 48 26 73 46 48 39 25 25 44 39 25 28 50 51 49 25 44 39 25 73 44 25 50 51 50 33 28 25 50 50 50 72 25 72 50 44 28 1]X 792 4197 M (we exp) [72 44 36 44 51 1]X 1089 4197 M (ect to see in it. Thus as a main goal of this research, we need to build a model ) [44 44 28 36 28 50 36 40 44 44 36 28 50 36 28 28 25 36 62 50 50 39 36 44 39 36 45 36 78 44 28 50 37 49 50 44 28 36 51 33 36 28 51 28 39 36 33 44 39 44 45 33 44 50 25 37 72 44 36 51 44 44 50 36 28 51 37 50 50 28 28 50 36 44 36 78 50 50 44 28 1]X 792 4427 M (about the expected contents of images in order to be able to \223understand\224 them. ) [44 50 50 50 28 25 28 50 44 25 44 51 50 44 44 28 44 50 25 44 50 50 28 44 50 28 39 25 50 33 25 28 78 44 49 44 39 25 28 50 25 50 33 50 44 33 25 28 50 25 50 44 25 44 50 28 44 25 28 50 25 44 50 50 50 44 33 39 28 44 50 50 44 25 28 50 44 78 25 1]X 3994 4427 M ( ) [1]X 792 4707 M ( ) [1]X 942 4707 M (Another important goal is to provide a theoretical framework in the model which ) [72 50 50 28 50 44 33 43 28 78 50 50 33 28 44 50 28 43 49 50 44 28 44 28 39 43 28 50 43 50 33 50 50 28 50 44 43 44 43 28 50 44 50 33 44 28 28 44 44 28 43 33 33 44 78 44 72 51 33 50 43 28 50 43 28 50 44 43 78 49 50 44 28 43 72 50 28 44 50 1]X 792 4937 M (appropriately) [44 50 50 33 50 50 33 28 44 28 44 30 1]X 1324 4937 M ( integrates multiple special) [37 28 50 28 45 49 34 44 28 44 39 38 78 50 28 28 28 50 28 44 37 39 50 44 44 28 44 1]X 2436 4937 M (-) [1]X 2469 4937 M (purpose image algorithms and techniques with ) [50 50 33 50 50 39 45 37 28 78 44 49 44 38 44 28 49 51 33 28 28 50 78 39 37 44 50 50 37 28 44 44 50 50 28 50 50 44 39 37 72 28 28 50 1]X 792 5167 M (the knowledge base. ) [28 50 44 25 50 50 50 72 28 44 50 49 44 25 50 44 39 44 25 1]X 1628 5167 M ( ) [1]X 792 5496 M (This remainder of this chapter is ) [61 50 28 39 56 33 44 78 44 28 50 50 45 33 56 50 33 56 28 50 28 40 56 44 50 44 50 28 45 33 56 28 39 1]X 2301 5496 M (organized as follows: Section 2.2 reviews some ) [50 34 50 44 50 28 45 44 50 57 44 39 56 33 50 28 28 50 72 39 28 56 56 44 44 28 28 50 50 56 50 25 51 56 33 44 50 28 44 72 40 56 39 50 78 44 1]X 792 5726 M (knowledge representation schemes used in image understanding. Section 2.3 introd) [50 50 50 72 28 44 50 50 44 35 34 44 50 33 44 40 44 50 28 44 28 28 51 50 35 39 44 50 44 78 44 39 35 50 40 44 50 35 28 50 35 28 78 45 50 44 35 50 50 50 44 33 39 28 44 50 50 28 51 49 26 35 56 44 44 28 28 50 51 35 50 25 50 35 28 50 28 33 50 1]X 4215 5726 M (uces ) [50 44 44 39 1]X showpage %%Page: 19 19 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (19) [50 1]X 792 582 M (some ideas to deal with the complexity in image understanding. Based on these ideas, the ) [39 50 78 44 27 28 50 44 44 39 27 28 50 27 50 44 44 28 27 72 28 28 50 27 27 50 44 27 44 50 78 50 28 44 51 28 29 47 27 28 50 27 28 78 44 49 44 27 51 50 50 44 33 39 28 44 50 50 28 51 49 25 27 66 44 40 44 50 27 50 50 27 28 50 44 39 44 27 28 50 44 44 39 25 27 28 50 44 1]X 792 812 M (basic concepts of the proposed object) [50 44 39 28 44 34 44 50 51 44 44 50 28 39 34 51 33 34 28 50 45 34 50 34 50 50 50 39 44 50 34 50 50 28 44 44 1]X 2335 812 M (-) [1]X 2368 812 M (oriented knowledge model are defined in Section ) [51 33 28 44 50 28 44 51 34 51 50 50 72 28 44 50 50 44 34 78 50 50 44 29 34 44 34 44 34 51 44 33 29 50 44 50 34 28 50 34 56 44 44 28 28 50 50 1]X 792 1042 M (2.4. Section 2.5 details how to implement the knowledge model into images an) [50 25 50 25 28 56 44 44 28 28 50 50 28 50 25 50 28 51 44 28 44 28 28 39 28 51 50 72 28 28 50 28 28 78 50 28 44 78 44 50 28 28 28 50 45 28 50 50 51 72 28 44 50 50 44 28 78 50 50 44 29 28 28 50 28 50 28 28 78 45 50 44 39 28 44 1]X 3992 1042 M (alysis and ) [44 29 48 39 28 39 29 44 50 50 1]X 792 1272 M (some case studies will be given. Finally, a conclusion is drawn in section 2.6.) [39 50 78 44 25 44 44 39 44 25 39 28 50 50 28 44 39 25 72 28 28 28 25 50 44 25 49 28 50 44 50 25 25 55 28 50 44 28 28 47 25 25 44 25 44 50 50 44 28 50 39 28 50 50 25 28 39 25 50 33 44 72 50 25 28 50 25 39 44 44 28 28 50 50 25 50 25 50 1]X 3882 1272 M ( ) [1]X [150 0 0 -150 0 0]/Times-Roman MF 792 1598 M ( ) [1]X [150 0 0 -150 0 0]/Times-Bold MF 792 1946 M (2.2) [75 38 1]X 980 1946 M ( ) [1]X 1092 1946 M (Overview of Knowledge Representation in Image ) [117 75 67 67 75 41 66 109 69 75 49 69 116 83 75 109 42 67 83 75 66 69 108 67 83 66 67 58 67 83 50 75 50 42 75 83 69 42 83 69 57 125 75 75 67 1]X 1092 2290 M (Understanding) [108 83 83 67 67 58 50 75 83 83 42 83 1]X 2049 2290 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 2636 M (The analysis of images involves the matching of features extracted from the image with ) [61 50 44 32 44 50 44 30 48 39 28 39 32 50 33 32 28 78 45 50 44 39 32 29 50 50 50 28 50 44 39 32 28 50 44 32 78 44 28 44 50 28 51 49 32 50 33 33 33 44 44 28 50 34 44 39 32 44 51 28 33 44 44 28 44 50 33 33 33 50 78 32 29 50 44 32 28 78 45 49 44 32 72 28 28 50 1]X 792 2866 M (pre) [50 33 1]X 919 2866 M (-) [1]X 952 2866 M (defined model) [50 45 33 28 50 44 50 45 78 50 50 44 1]X 1547 2866 M (s. The closer this match, the better the image scene is understood. ) [39 25 45 61 51 45 45 44 28 50 39 44 33 45 28 50 28 39 45 78 44 28 44 50 26 45 28 50 44 46 50 44 28 28 44 33 45 28 50 44 45 28 78 45 50 44 45 39 45 44 50 44 46 28 39 45 50 50 50 44 33 39 28 50 50 50 25 1]X 792 3096 M (Hence, the development and use of these models are critical to the effectiveness of the ) [72 44 50 44 44 25 36 28 50 44 36 50 44 51 44 28 50 50 78 44 50 28 36 44 50 50 36 50 39 44 36 50 33 36 28 50 44 39 44 36 78 50 50 44 28 39 36 44 33 44 36 44 33 28 28 28 44 44 28 36 28 50 36 28 50 44 36 44 33 33 44 45 28 28 50 44 50 44 39 39 36 50 33 36 28 50 44 1]X 792 3326 M (system. A good production of a high) [40 48 39 28 44 78 25 65 72 66 49 50 50 50 65 50 33 50 50 51 44 28 28 50 50 65 50 33 65 44 65 50 28 49 1]X 2495 3326 M (-) [1]X 2528 3326 M (level model requires the representation of ) [28 44 50 44 28 66 78 50 50 44 28 65 33 44 50 50 28 33 44 39 65 28 50 44 65 34 44 51 33 44 39 44 50 28 44 28 28 50 50 65 50 34 1]X 792 3556 M (knowledge about the o) [50 50 50 72 28 44 50 50 44 38 44 50 50 50 28 38 28 50 44 38 1]X 1738 3556 M (bject characteristics, relationships and when and how to use the ) [51 28 44 44 28 38 44 50 44 34 44 44 28 45 33 28 39 28 28 44 39 25 38 33 44 28 44 28 28 50 50 39 50 28 50 39 38 44 50 50 38 72 50 44 50 38 44 50 50 38 50 50 72 38 28 50 38 50 39 44 38 28 50 44 1]X 792 3786 M (information stored within the model to process the image data. In this section, we will ) [28 50 33 50 33 78 44 28 28 50 50 37 39 28 50 33 44 50 37 72 28 28 50 27 50 37 28 50 44 37 78 50 50 44 28 37 28 49 37 50 33 50 44 44 39 39 37 27 50 44 37 28 78 44 49 44 37 50 44 28 44 25 38 32 50 37 28 50 28 39 37 39 44 44 28 28 50 50 25 37 72 44 37 72 28 28 28 1]X 792 4016 M (review several typical knowledge representation schemes which have been developed in ) [33 44 50 28 44 72 32 39 44 51 44 33 44 28 32 30 48 50 28 44 44 28 32 50 51 50 72 28 44 50 50 44 32 33 44 51 33 44 39 44 50 28 44 28 28 50 50 32 40 44 50 44 78 44 39 32 72 50 28 44 50 32 50 44 51 44 32 50 44 44 51 32 50 44 50 44 28 50 50 44 50 32 28 50 1]X 792 4246 M (AI and been introd) [73 31 37 44 50 50 36 50 44 44 50 36 28 50 28 33 50 1]X 1576 4246 M (uced in image understanding. The motivation of the discussion is to ) [50 45 44 50 36 28 50 36 28 78 44 49 44 36 50 50 50 44 33 39 28 44 50 50 28 51 49 25 37 61 50 44 36 78 50 28 28 50 44 28 28 50 50 36 50 33 36 28 50 44 36 50 27 39 44 50 39 39 28 50 50 36 28 39 36 28 49 1]X 792 4476 M (determine the emphasis for developing the new knowledge model.) [50 44 28 44 33 78 28 50 44 25 28 50 44 25 44 78 50 50 44 39 28 39 25 33 50 33 25 50 44 50 44 28 50 50 28 50 49 25 28 50 44 25 50 44 72 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 1]X 3444 4476 M ( ) [1]X [100 0 0 -100 0 0]/Times-Italic MF 792 4756 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 5045 M (2.2.1) [67 33 67 33 1]X 1059 5045 M ( ) [1]X 1092 5045 M ( Production Rules System ) [33 33 81 59 67 74 74 59 44 37 67 74 33 96 74 37 59 52 33 74 67 52 44 59 109 1]X 2616 5045 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 5367 M (In the production rules system, knowledge is encapsulated in a set of IF) [32 50 33 28 50 44 33 50 33 50 50 51 44 28 28 50 50 33 33 50 28 44 39 33 39 48 40 28 44 78 25 33 50 50 50 72 28 44 51 50 44 33 28 39 33 44 50 45 44 50 39 50 28 44 28 44 50 33 28 50 33 44 33 39 44 28 33 50 33 34 32 1]X 3748 5367 M (-) [1]X 3782 5367 M (THEN rules or ) [61 72 61 72 33 33 50 28 44 39 33 50 34 1]X 792 5597 M (condition) [44 50 50 50 28 28 28 50 1]X 1170 5597 M (-) [1]X 1203 5597 M (action pairs which interact with image data. The previous work for rule) [44 44 28 28 50 50 32 50 44 28 33 39 32 73 50 28 44 50 32 28 50 28 44 33 44 44 28 33 72 28 28 50 32 28 78 44 50 44 33 50 44 28 44 25 32 61 50 44 32 51 33 44 50 28 50 50 39 32 72 50 33 51 32 33 50 33 32 33 50 28 1]X 4130 5597 M (-) [1]X 4163 5597 M (based ) [50 44 39 45 51 1]X 792 5827 M (image analysis systems mainly focus on low) [28 78 44 49 44 35 44 51 44 30 47 39 28 39 35 41 47 39 29 44 78 39 35 78 44 28 50 29 47 36 33 50 44 50 39 35 50 50 35 28 50 1]X 2627 5827 M (-) [1]X 2660 5827 M (level image segmentation, such as using a ) [28 44 51 44 28 35 28 78 44 49 44 35 39 45 49 78 44 50 28 44 28 28 50 50 25 35 39 50 44 50 35 44 39 35 50 39 28 50 49 35 44 1]X showpage %%Page: 20 20 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (20) [50 1]X 792 582 M (set of production rules to generate image processing flow sequences [Nazif 84, Brook ) [39 44 28 39 50 33 39 50 33 50 50 51 44 28 28 50 50 39 33 50 28 44 39 39 29 50 39 50 44 50 44 34 44 28 44 39 28 78 45 50 44 39 50 33 50 45 44 40 39 28 50 49 39 33 28 50 72 39 40 44 50 50 44 51 44 44 39 39 34 72 45 45 28 33 39 50 50 25 39 66 33 50 50 50 1]X 792 812 M (81], eva) [50 50 34 25 31 44 50 1]X 1120 812 M (luating the preliminary segmentation results [Lin 88, Mckeown 87] etc. Because ) [28 50 44 28 28 50 49 31 28 50 44 31 50 33 44 28 28 78 28 50 44 34 48 31 39 45 49 78 44 50 29 44 28 28 50 50 31 33 44 39 50 28 28 39 30 35 59 28 50 31 50 50 25 31 89 44 50 44 50 72 50 31 50 50 34 31 44 28 44 25 31 66 44 44 44 50 40 45 1]X 792 1042 M (of the complexity of images, a large number of rules are needed in a real world task ) [50 33 41 28 50 44 41 44 50 78 50 28 44 51 28 29 47 41 50 33 41 28 79 44 50 44 39 25 41 44 41 28 44 34 50 44 41 50 50 78 50 44 33 41 50 34 41 33 50 28 44 39 41 44 33 44 41 50 45 44 50 44 50 41 28 50 41 44 41 34 44 44 28 41 72 50 33 28 50 41 28 44 39 51 1]X 792 1271 M (domain, also the additional control rule are indispensable and have usually been added by ) [50 50 78 44 28 50 25 26 44 28 39 50 26 28 50 44 26 44 50 50 28 28 28 50 50 44 28 26 44 50 50 28 33 50 28 26 33 50 28 44 26 44 34 44 26 28 50 50 28 39 50 44 50 39 44 50 28 44 26 44 50 50 26 51 44 50 44 26 50 39 50 44 28 30 49 26 50 44 44 50 26 44 50 50 44 50 26 52 49 1]X 792 1501 M (st) [39 1]X 859 1501 M (ructuring the rule base into classes or phases. Unfortunately, rules are not natural ) [33 50 44 28 50 33 28 50 49 50 28 50 44 50 33 50 28 44 50 50 44 40 44 50 28 50 28 50 50 44 28 44 39 39 44 39 50 50 33 50 50 50 44 39 44 39 25 50 72 50 33 50 33 28 50 50 44 28 44 30 48 25 50 33 50 28 44 39 50 44 33 44 50 50 50 28 50 50 44 28 50 33 44 29 1]X 792 1731 M (representations for many declarative facts required in the knowledge base. The rule) [33 44 50 33 44 40 44 50 28 44 28 28 50 50 39 26 33 50 33 26 78 44 51 48 27 50 44 44 28 44 34 44 28 28 50 44 26 33 44 44 28 39 26 33 44 50 50 29 33 44 51 26 28 50 26 28 50 44 26 50 50 50 72 28 44 50 49 44 26 50 44 39 44 25 27 61 50 44 26 33 50 28 1]X 4131 1731 M (-) [1]X 4164 1731 M (based ) [50 44 40 44 50 1]X 792 1961 M (systems by themselves do not guarantee addition of knowledge and consistency ) [40 48 39 28 44 78 39 66 52 48 66 28 50 44 78 39 44 28 51 44 39 66 50 50 66 50 50 28 66 49 51 44 33 44 50 29 44 44 67 44 51 50 28 28 28 50 50 66 50 33 66 50 50 50 72 28 44 50 50 44 66 45 50 50 66 44 50 50 39 28 39 28 44 50 46 49 1]X 792 2191 M (reas) [33 44 44 1]X 952 2191 M (oning [Binford 82]. In addition, these approaches defeat modularity and tend to make ) [50 50 28 51 49 27 34 66 28 50 33 50 33 50 27 50 50 34 25 28 33 50 27 44 50 50 28 28 28 50 50 25 27 28 50 44 39 44 27 44 50 50 33 50 45 45 50 44 39 27 50 44 33 45 44 28 27 78 50 50 50 28 44 33 28 29 48 28 44 51 50 27 28 44 50 50 27 28 50 27 78 44 50 43 1]X 792 2420 M (program modification difficult [Draper 89].) [50 33 50 49 33 44 78 25 78 50 50 28 33 28 44 44 28 28 50 50 25 50 28 33 33 28 44 50 28 28 25 34 72 33 44 50 44 33 25 50 50 34 1]X 2531 2420 M ( ) [1]X [100 0 0 -100 0 0]/Times-Italic MF 792 2700 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 2989 M (2.2.2 Blackboard Systems ) [67 33 67 33 67 33 33 33 33 33 33 89 37 67 59 73 74 67 67 59 74 33 74 67 52 44 59 109 52 1]X 2446 2989 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 3311 M (The framework of a blackboard system includes: \(1\) a blackboard, \(2\) knowledge sources ) [61 50 44 26 33 33 44 79 44 72 50 33 50 26 50 33 26 44 26 50 28 45 45 50 50 50 44 33 50 26 40 48 39 29 44 78 26 28 50 44 28 50 50 44 39 28 26 33 50 33 26 44 26 50 28 44 44 50 50 51 44 33 50 25 26 33 50 33 26 50 50 51 72 28 44 50 50 44 26 39 50 50 33 45 44 39 1]X 792 3541 M (and \(3\) ) [44 50 50 32 33 50 34 1]X 1117 3541 M (a control scheme. The blackboard represents a common database through which ) [44 33 44 50 50 28 33 50 28 32 39 44 50 44 79 45 25 32 61 50 44 32 50 28 45 44 50 50 50 44 33 51 32 33 44 51 33 44 39 45 50 28 39 32 44 32 44 50 78 78 50 50 32 50 44 29 44 50 44 39 44 32 29 50 33 50 50 49 51 32 72 50 28 44 51 1]X 792 3771 M (all knowledge sources communicate. The knowledge sources contain the partial ) [44 28 28 70 50 50 50 72 28 44 51 49 44 70 39 50 50 34 44 44 40 70 44 50 78 78 50 50 28 44 44 28 44 25 70 61 51 44 70 51 50 50 72 28 44 50 50 44 70 39 50 50 34 44 44 39 70 44 50 50 29 44 28 50 70 28 50 44 70 50 44 33 28 28 44 29 1]X 792 4001 M (knowledge required to solve the pieces of the problem and respond opportunistically to ) [50 50 50 72 28 44 50 50 44 34 34 44 50 50 28 33 44 51 34 28 50 34 40 50 28 50 44 34 28 50 44 34 50 28 45 44 44 39 34 51 33 34 28 50 44 34 51 34 50 50 28 44 78 34 44 50 50 34 34 44 39 50 50 50 50 34 50 50 50 51 33 28 50 50 28 39 28 28 44 44 28 29 48 34 28 50 1]X 792 4231 M (the data posed o) [28 50 44 28 50 44 28 44 28 50 50 39 44 50 28 1]X 1447 4231 M (n the blackboard. The control scheme is charged with determining which ) [50 28 28 50 44 28 50 28 44 44 50 50 50 44 33 50 25 28 61 50 44 28 44 50 50 28 33 50 28 28 39 44 51 44 78 44 28 28 39 28 44 50 44 34 49 44 50 28 72 28 28 50 28 50 44 28 45 33 78 28 50 28 50 49 28 72 50 28 44 50 1]X 792 4460 M (of the knowledge sources is best suited to contribute next to the emerging solution of the ) [50 33 29 28 50 44 29 50 50 50 72 28 44 50 49 44 29 39 50 50 34 44 45 39 29 28 39 29 50 44 39 27 29 39 50 28 28 44 50 29 28 49 29 44 50 50 28 33 28 49 50 28 44 29 50 44 51 28 28 28 50 29 28 50 44 29 44 78 44 33 49 28 50 49 30 39 50 28 50 28 28 50 50 29 50 33 29 28 50 43 1]X 792 4690 M (problem at hand. This blackboard architecture provides a means for implementing ) [50 33 50 50 28 44 78 56 44 28 56 51 44 50 50 25 56 61 50 28 40 56 50 28 44 44 50 50 50 45 33 50 57 44 33 44 50 28 28 45 44 28 50 34 44 56 50 33 50 50 28 50 44 40 56 45 56 78 44 44 50 40 56 33 51 33 56 28 78 50 28 44 78 44 50 28 28 50 50 1]X 792 4920 M (opportunistic ) [50 50 50 50 33 28 50 50 28 39 28 28 44 1]X 1368 4920 M (reasoning which is a useful problem) [33 44 44 39 50 50 28 50 49 49 72 50 28 44 50 48 28 39 48 44 48 50 39 44 33 50 28 48 50 33 50 50 28 44 1]X 2928 4920 M (-) [1]X 2961 4920 M (solving paradigm to be employed ) [39 50 28 50 28 50 49 48 50 45 33 44 50 29 49 78 48 28 50 48 50 44 48 44 78 50 28 51 48 45 51 1]X 792 5150 M (when the combination of various sources of knowledge is necessary to solve a highly ) [72 50 44 50 40 28 50 44 40 44 50 78 50 28 50 44 28 28 50 50 40 50 33 40 50 44 33 28 50 50 39 40 39 50 50 33 44 44 39 40 50 33 40 50 50 51 72 28 44 50 50 44 40 28 39 40 50 44 44 44 39 40 44 35 48 40 28 50 40 39 50 28 50 44 40 44 40 50 28 49 50 30 49 1]X 792 5380 M (complex problem. Some recent blackboard type systems are described in [Levine 81, ) [44 50 78 50 28 44 51 43 50 33 50 50 28 44 78 25 43 56 50 78 44 43 33 44 45 44 50 28 43 50 28 44 44 50 50 50 45 33 50 43 29 48 51 45 43 40 48 39 28 44 78 39 43 44 34 44 43 50 44 40 44 33 28 50 44 50 43 29 50 43 34 60 44 50 28 50 44 43 50 50 25 1]X 792 5609 M (Matsuyana 89]. The com) [89 44 28 39 51 48 44 51 44 42 50 50 34 25 42 61 50 44 42 44 50 1]X 1842 5609 M (mon feature of them is the working memory which acted as ) [78 50 50 42 33 44 44 28 50 33 44 42 50 33 42 28 50 44 78 42 28 39 42 28 50 44 42 72 50 33 50 28 50 49 42 78 44 78 50 35 48 43 72 50 28 44 50 42 44 44 28 44 50 42 44 40 1]X 792 5839 M (repository for both the input data and the deductions made by the different image ) [33 44 50 50 39 28 28 50 35 48 52 33 50 34 52 50 50 28 50 52 28 50 45 52 28 50 50 50 28 52 50 44 28 44 52 44 50 50 52 28 51 44 52 50 45 50 50 44 28 28 50 50 39 52 78 44 50 44 52 52 48 52 28 50 44 53 50 28 33 33 44 34 44 50 28 52 28 78 45 49 45 1]X showpage %%Page: 21 21 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (21) [50 1]X 792 582 M (processing modules. Draper et al [Draper 89] pointed out two problems with blackboard ) [50 33 50 44 44 39 39 28 51 49 31 78 50 50 50 28 44 39 25 31 72 33 45 50 44 33 31 44 28 31 44 28 31 34 72 33 44 50 45 33 31 50 50 34 31 50 50 27 50 28 44 50 31 50 50 28 31 28 72 50 31 50 33 50 50 28 44 78 39 31 72 28 28 50 31 50 28 44 44 50 50 50 44 33 51 1]X 792 812 M (architectures in respect to ima) [44 33 44 50 28 28 45 44 28 50 33 44 39 47 28 50 48 33 44 39 50 45 44 28 48 28 50 47 28 78 1]X 2081 812 M (ge processing. One comes from their control structure ) [50 44 47 50 33 51 44 44 39 39 28 51 49 25 47 73 50 44 47 44 50 78 44 40 47 33 33 50 78 47 28 50 44 29 33 47 44 51 50 28 33 50 28 47 39 28 33 50 44 28 50 33 45 1]X 792 1042 M (through which the blackboard decides which image analysis processes will run and ) [28 50 33 50 50 49 50 50 72 50 29 44 50 50 28 50 44 50 50 28 45 45 50 50 50 44 33 50 50 50 45 44 28 50 44 39 50 72 50 28 44 50 50 29 78 44 50 44 50 44 50 44 30 48 39 28 39 50 50 33 51 44 44 39 39 44 40 50 72 28 28 28 50 33 50 50 50 44 50 50 1]X 792 1271 M (consume resources. With large number of knowledge sources involved in image ) [44 50 50 39 50 78 44 64 33 44 39 50 51 33 44 44 39 26 64 95 28 28 50 64 28 44 34 49 44 64 50 50 78 50 45 33 64 50 33 65 51 50 50 72 28 44 50 50 44 64 39 50 50 34 44 44 39 64 28 50 50 50 29 50 44 50 64 28 50 64 28 78 45 49 44 1]X 792 1501 M (processing, the control efficiency becomes pr) [50 33 50 44 44 39 39 28 51 49 25 38 28 50 44 38 44 50 50 28 33 50 28 38 45 33 33 28 44 28 44 50 46 48 38 51 44 44 50 78 44 39 38 51 1]X 2672 1501 M (oblematic. The other difficulty lies in the ) [50 50 28 44 78 44 28 28 44 25 38 61 50 44 38 50 28 50 45 33 38 50 28 33 33 28 45 50 28 29 48 38 28 28 44 39 38 28 50 38 28 50 45 1]X 792 1731 M (temporal continuity of image knowledge sources, blackboards assume that various ) [28 44 78 50 50 33 44 28 58 44 50 50 28 28 50 50 28 30 48 58 50 34 59 28 78 44 49 45 58 50 50 50 72 28 44 51 50 44 58 39 50 50 34 45 44 39 25 58 50 28 44 44 50 50 51 44 33 50 39 59 44 39 39 50 78 45 58 28 50 44 28 58 50 45 33 28 50 50 38 1]X 792 1961 M (knowledge sources will wake up when required for use and then vanish. In image ) [50 50 50 72 28 44 50 50 44 51 39 50 50 34 44 44 39 51 72 28 28 29 51 72 44 50 44 51 50 50 52 72 50 44 50 51 34 44 50 50 28 33 45 50 51 33 50 33 51 50 39 44 52 44 50 50 51 28 50 44 50 51 51 44 51 28 39 50 25 52 31 50 51 28 78 45 50 44 1]X 792 2191 M (analysis, knowledge sources tend to be associated wit) [44 50 44 30 48 39 28 39 25 44 50 50 50 72 28 44 51 49 44 44 39 50 51 33 44 44 39 44 28 44 50 50 44 28 50 44 51 44 44 44 39 39 50 44 28 44 29 44 50 44 72 28 1]X 3069 2191 M (h objects or regions of images, ) [50 44 50 50 28 44 44 28 39 44 50 33 44 34 45 49 28 50 50 39 44 50 33 44 28 78 44 50 44 39 26 1]X 792 2420 M (which persist as long as the image remains under analysis.) [72 50 28 44 50 25 50 44 33 39 28 39 28 25 44 39 25 28 50 50 49 25 44 39 25 28 50 44 25 28 78 44 49 44 25 33 44 78 44 28 50 39 25 50 50 50 44 33 25 44 50 44 28 47 39 28 39 1]X 3117 2420 M ( ) [1]X 792 2700 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 2989 M (2.2.3. Frame) [67 33 67 33 67 33 33 81 59 67 109 1]X 1500 2989 M (-) [1]X 1544 2989 M (based Semantic Networks) [74 67 52 59 74 33 74 59 109 67 74 44 37 59 33 96 59 44 98 67 59 73 1]X 3007 2989 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 3286 M (A ) [72 1]X [100 0 0 -100 0 0]/Times-Italic MF 891 3286 M (semantic network) [39 44 72 50 50 28 28 44 28 50 44 28 67 50 39 1]X [100 0 0 -100 0 0]/Times-Roman MF 1596 3286 M ( is a labeled, directed graph. The network nodes are used to represent ) [27 28 40 27 44 28 28 44 50 44 28 44 50 25 27 50 28 34 44 44 28 44 51 28 49 34 44 50 50 25 28 61 50 44 27 50 44 28 72 51 33 50 27 50 50 51 44 39 27 45 33 44 27 51 39 44 50 27 28 50 27 34 44 50 33 44 40 44 50 29 1]X 792 3516 M (objects in images, and the arcs connec) [50 50 28 44 44 28 39 49 28 50 49 28 78 44 49 44 39 25 49 44 50 50 50 28 50 44 49 44 33 44 39 49 44 50 50 51 44 1]X 2464 3516 M (ting the nodes represent various relationships ) [28 28 51 49 49 28 50 45 49 50 50 50 44 39 49 33 44 50 33 44 40 44 50 28 49 50 44 33 28 50 51 39 49 33 44 28 44 28 28 50 50 39 50 28 50 38 1]X 792 3746 M (between the objects. Both the nodes and the arcs are labeled by attributes corresponding ) [50 44 28 72 44 44 50 31 28 50 45 31 50 50 28 44 44 28 39 25 32 66 50 28 50 31 28 50 44 31 50 50 50 44 39 31 44 50 50 31 28 50 44 32 44 33 44 39 32 44 33 44 31 28 44 51 44 28 44 50 31 52 48 31 44 28 28 33 28 50 50 28 44 39 32 44 50 33 33 44 39 50 50 50 50 28 52 50 1]X 792 3976 M (to properties of objects and relationships, respectively. This type of semantic network can ) [28 50 26 50 33 50 50 44 33 28 28 44 39 26 50 33 26 50 50 28 45 44 28 39 26 45 50 50 26 33 44 28 44 28 28 50 50 39 50 28 50 39 25 26 33 44 39 50 45 44 28 28 50 44 29 48 25 26 61 50 28 39 26 30 48 50 44 26 50 33 26 40 44 78 44 50 29 28 44 26 50 44 28 72 50 33 50 26 45 44 50 1]X 792 4206 M (describe complex relations o) [50 44 39 44 33 28 50 44 26 44 50 78 50 28 44 51 26 33 44 28 44 28 28 51 50 39 26 1]X 1942 4206 M (f objects explicitly and succinctly, and also reduce the search ) [33 26 50 50 28 44 44 28 39 26 44 51 50 28 28 44 28 28 29 47 26 45 50 50 26 39 50 44 44 28 50 44 28 29 48 25 26 44 50 50 27 44 28 39 50 26 33 45 50 50 44 44 26 28 50 44 26 39 44 45 33 44 50 1]X 792 4435 M (time for particular objects with the well) [28 28 78 44 26 33 50 33 26 50 44 33 28 28 44 50 28 44 33 26 50 50 28 45 44 29 39 26 72 28 28 50 26 28 50 44 26 72 44 28 1]X 2381 4435 M (-) [1]X 2414 4435 M (organized structure. However, the major problem ) [50 33 50 44 50 28 45 44 50 26 39 28 33 50 44 28 50 33 44 25 26 72 50 72 44 51 44 33 25 26 28 50 44 27 78 44 28 50 33 26 50 33 50 50 28 44 78 1]X 792 4665 M (of semantic networks is the lack of theory of semantics. No standard interpretation exists ) [50 33 28 39 44 78 44 50 28 28 45 28 50 44 28 72 50 33 50 40 28 28 39 28 29 50 44 28 28 44 44 51 28 50 34 28 28 50 44 50 35 48 29 50 33 28 40 44 79 44 50 28 28 44 39 25 28 72 50 28 39 29 44 50 50 44 33 51 28 28 50 28 44 34 50 33 44 28 44 28 28 50 50 28 44 51 28 39 28 38 1]X 792 4895 M (for knowled) [33 50 33 31 50 50 50 72 28 44 1]X 1284 4895 M (ge expressed within a network, and invalid inference can be drawn from the ) [49 45 31 44 51 50 33 44 39 39 44 51 31 72 28 28 50 28 50 31 44 31 50 44 28 72 50 33 50 25 31 44 50 50 31 29 50 50 44 28 28 50 31 28 50 33 44 33 44 51 44 44 32 44 44 50 31 50 44 32 50 33 44 72 50 31 34 33 50 78 31 28 50 45 1]X 792 5125 M (knowledge contained within the network [Gonzalez 93]. ) [50 50 50 72 28 44 50 49 44 25 44 50 50 28 44 28 50 44 50 25 72 28 28 50 28 50 25 28 50 44 25 50 44 28 72 50 33 50 25 34 72 50 50 45 44 28 44 45 25 50 50 34 25 1]X 3068 5125 M ( ) [1]X [100 0 0 -100 0 0]/Times-Italic MF 942 5380 M (Frames) [61 39 50 72 44 1]X [100 0 0 -100 0 0]/Times-Roman MF 1247 5380 M ( provide the framework for representing knowledge at a more systematic level. ) [26 50 33 50 50 28 50 45 26 28 50 44 27 33 33 44 79 44 72 50 33 50 27 33 50 33 27 33 44 50 34 44 39 44 50 28 28 51 49 26 51 50 50 72 28 44 50 50 44 27 44 28 26 44 26 78 51 33 44 26 41 48 39 28 45 78 44 28 28 44 26 28 44 50 44 28 26 1]X 792 5609 M (As data structures, frames offer the benef) [72 39 32 50 44 28 44 32 39 28 33 50 44 28 51 33 44 39 25 32 34 33 44 78 45 39 32 50 33 33 44 34 32 28 50 44 32 50 44 51 44 1]X 2486 5609 M (its of record structures, slot) [28 28 39 32 50 33 33 33 45 44 50 33 50 32 39 28 33 50 44 28 50 34 44 39 25 32 39 28 50 1]X 3607 5609 M (-) [1]X 3640 5609 M (access procedures, ) [45 44 44 45 39 39 32 50 33 50 44 44 50 50 34 44 39 26 1]X 792 5839 M (value inheritance and object hierarchy. Individual frames correspond to the nodes in the ) [50 44 28 50 44 32 28 50 50 44 33 28 28 44 51 44 44 33 44 50 50 32 50 51 28 44 44 28 32 50 28 44 34 44 33 44 52 48 26 33 32 50 50 28 50 28 50 50 44 29 32 33 33 44 78 44 40 32 44 50 34 33 44 39 50 50 50 50 32 28 50 32 28 51 44 32 50 50 50 44 39 32 28 50 32 28 50 45 1]X showpage %%Page: 22 22 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (22) [50 1]X 792 582 M (semantic network and the relationships between the frames are the arcs in the semantic ) [39 44 78 44 50 28 28 44 35 50 44 28 72 50 33 50 35 44 50 50 35 28 51 44 35 33 44 28 44 28 28 50 50 39 50 28 50 39 35 50 44 28 72 44 44 50 35 29 50 44 35 33 33 44 78 44 39 35 45 33 44 35 28 50 44 35 44 34 44 39 35 28 50 35 28 50 44 35 39 44 78 44 50 28 28 43 1]X 792 812 M (network. The slots in the fram) [50 44 28 72 50 33 50 25 50 61 50 45 50 39 28 50 28 39 50 28 50 50 28 50 44 50 33 34 44 1]X 2123 812 M (es form a description of the object and also contain ) [44 39 50 33 51 33 78 50 44 50 51 44 39 44 34 28 50 28 28 50 50 50 50 33 50 28 50 44 50 50 50 28 44 44 28 51 44 51 50 50 44 28 39 50 50 44 50 50 28 44 28 51 1]X 792 1042 M (production rules for instantiating other object frames when appropriate. In this formalism, ) [50 33 50 50 50 44 28 28 50 50 25 33 50 28 44 39 26 33 50 33 25 28 50 39 28 45 50 28 28 44 28 28 50 49 25 50 28 50 44 34 25 50 50 28 44 44 28 26 33 33 44 79 44 39 25 72 50 44 51 25 44 50 50 33 50 51 33 28 44 28 44 25 27 32 50 25 29 50 28 39 25 33 50 33 78 44 28 28 39 78 25 1]X 792 1271 M (frames are thus control mechanisms as well as data representations. The control paradigm ) [33 33 44 78 44 39 26 45 33 44 26 28 50 50 39 26 44 50 50 28 33 50 28 26 78 44 44 50 44 50 28 39 78 39 26 44 39 26 72 44 28 28 26 44 39 26 50 44 28 44 26 33 44 50 34 44 39 44 50 28 44 28 28 50 50 39 25 26 61 50 44 27 44 50 50 28 33 50 28 26 50 44 33 44 50 29 49 79 1]X 792 1501 M (of a frame interpreter) [50 33 25 45 25 33 34 44 78 44 25 28 50 28 45 33 50 33 44 29 44 1]X 1645 1501 M ( is essentially two phases: a structure matching phase and a forward) [25 28 39 26 45 39 39 44 50 28 28 44 28 29 48 25 28 72 51 25 50 50 44 39 44 39 29 25 45 25 39 28 33 50 44 28 50 33 44 25 79 44 28 44 50 28 51 49 25 50 51 44 39 44 26 44 50 50 25 45 25 33 50 34 72 44 33 1]X 4358 1501 M (-) [1]X 792 1731 M (chaining phase [Gonzalez 93]. In the structure matching, a candidate frame instance is ) [44 50 44 28 50 28 50 49 38 50 50 44 40 44 38 34 72 50 50 45 44 28 44 45 38 50 49 34 25 38 31 50 38 28 50 44 38 39 28 33 50 44 28 50 33 44 39 78 44 28 44 50 28 50 49 25 38 44 38 45 44 50 50 28 50 44 28 44 38 33 34 44 78 44 38 28 50 39 28 44 50 44 44 38 28 39 1]X 792 1961 M (chosen and the data is searched in an attempt to fill the empty slots in that frame instance. ) [44 50 50 39 44 50 26 44 50 50 26 28 50 44 26 50 44 28 44 26 28 39 26 39 44 44 33 44 51 44 50 26 28 50 26 44 50 26 44 28 28 44 78 50 28 26 28 50 26 33 27 28 28 26 28 50 44 26 44 78 50 29 47 26 39 28 50 28 39 26 28 50 26 28 50 44 28 25 33 33 44 78 44 26 28 50 39 28 44 50 45 44 26 1]X 792 2191 M (The fo) [61 50 44 36 33 1]X 1066 2191 M (rward) [33 72 45 33 1]X 1299 2191 M (-) [1]X 1332 2191 M (chaining phase is initialized by attached demon when a slot is filled. This ) [44 51 44 28 50 28 50 49 36 50 51 44 39 44 36 28 39 36 28 50 28 28 28 44 28 27 45 44 50 36 51 47 37 44 28 28 45 44 50 44 50 36 50 44 78 50 50 36 72 50 44 50 36 44 36 39 28 50 28 36 28 39 36 33 28 28 28 44 50 25 36 61 50 28 38 1]X 792 2420 M (representation hides the procedural complexity and makes frames clean. Numerous ) [33 44 50 33 44 40 44 50 28 44 28 28 50 50 55 50 28 50 44 39 55 28 51 45 55 50 33 50 44 44 50 51 33 44 28 56 44 50 78 50 28 44 51 28 29 48 55 44 50 50 55 78 44 51 44 39 55 34 33 44 78 44 39 56 44 28 45 44 50 25 55 72 50 78 44 33 50 50 40 1]X 792 2650 M (systems using this frame) [40 48 39 28 44 78 39 32 50 39 28 50 49 32 28 50 28 39 32 33 33 44 78 1]X 1798 2650 M (-) [1]X 1831 2650 M (based semantic network were reported to aid in the analysis of ) [50 44 39 44 50 32 39 44 78 44 50 28 28 44 32 50 44 28 72 51 33 51 32 72 44 33 44 32 33 44 50 51 33 28 44 50 32 28 50 32 44 28 50 32 28 50 32 27 50 44 32 44 50 44 30 48 39 28 39 32 50 33 1]X 792 2880 M (images) [28 78 44 49 44 1]X 1074 2880 M ( [Minsky 75]. Hanson and Riseman [Hanson 82] used frames as hypothesis ) [53 34 89 28 50 39 51 48 53 50 50 34 25 53 72 44 50 39 50 50 53 44 50 50 53 67 28 39 44 78 44 50 53 34 72 44 50 39 50 50 53 50 50 34 53 50 39 44 50 53 33 33 44 78 44 40 53 44 39 53 51 48 50 50 28 50 44 39 28 39 1]X 792 3110 M (generation mechanisms to predict the presence of objects. Ikeuchi and kanade [Ikeuchi 88] ) [49 44 51 44 34 44 28 28 50 50 25 78 44 44 50 44 50 28 39 78 39 25 29 50 25 50 33 44 50 28 44 28 25 28 51 44 25 50 34 44 39 44 50 45 44 25 50 34 26 50 50 28 44 44 28 39 25 26 32 50 44 51 44 50 28 25 44 50 51 25 50 44 50 45 50 44 25 35 31 51 44 50 44 50 28 25 50 50 35 1]X 792 3340 M (used frames to represent aspect of three) [50 39 44 50 32 33 34 44 78 44 39 32 28 50 32 34 44 50 33 44 40 44 50 29 32 44 39 50 44 44 28 32 51 33 32 28 50 34 44 1]X 2418 3340 M (-) [1]X 2451 3340 M (dimensional objects. ) [50 28 78 44 50 39 29 50 50 44 28 32 50 50 28 44 44 28 39 25 1]X 3313 3340 M (Walker et. al. ) [95 44 28 50 44 34 32 44 28 25 33 44 28 25 1]X 3899 3340 M ([Walker 90] ) [34 95 44 28 50 44 33 32 50 50 33 1]X 792 3569 M (used t) [50 39 44 50 48 1]X 1051 3569 M (he frame) [50 44 49 33 33 44 79 1]X 1427 3569 M (-) [1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 1460 3569 M (based representation\222s ability to represent partial specified objects to ) [50 44 40 44 50 48 34 45 50 33 44 39 44 50 28 44 28 28 50 50 33 39 49 44 50 28 28 28 29 48 48 28 51 48 33 44 50 34 44 39 44 50 28 48 51 44 33 28 28 44 28 48 39 51 44 44 28 34 28 44 50 48 50 50 28 44 44 28 39 48 28 51 1]X 792 3799 M (adjust the level of processing to available data. However, Draper et. al. [Draper 89] ) [44 50 28 50 39 28 46 28 50 44 46 28 44 50 44 28 46 50 33 46 50 33 50 45 44 39 39 28 50 49 46 28 50 46 44 50 44 28 28 44 50 28 44 46 51 44 28 44 26 46 72 50 72 44 50 44 33 25 46 73 33 44 50 45 33 46 44 28 25 46 44 29 25 46 34 72 33 44 50 44 33 46 50 50 33 1]X 792 4029 M (pointed out that using networks of frames for both control and representation tended to ) [50 50 28 50 28 44 50 35 50 50 28 35 28 50 44 28 35 50 39 28 50 49 35 49 44 28 72 50 33 50 39 35 50 33 35 33 33 44 78 44 39 35 33 51 33 35 50 50 28 50 35 44 50 50 28 33 50 28 35 44 50 50 35 33 44 50 33 44 39 44 51 28 44 28 28 50 50 35 28 44 50 50 44 50 35 28 50 1]X 792 4259 M (hide the procedural behavior of a system and destroy its temporal coordination. Such a ) [50 28 50 44 35 28 50 44 35 50 33 51 44 44 50 50 34 44 28 35 50 44 51 45 50 28 50 33 35 50 33 35 45 35 41 48 39 28 44 78 35 44 50 51 35 50 44 40 28 33 51 48 35 28 28 39 35 28 44 78 50 51 33 44 28 35 44 50 51 33 50 28 51 44 28 28 50 50 25 35 56 50 44 50 35 44 1]X 792 4489 M (formalism offered \223 a snapshot of the network of data relations, but ordering, branching ) [33 50 33 78 44 28 28 39 78 32 50 33 33 45 33 44 50 32 45 32 44 32 39 51 44 50 39 50 50 28 32 50 33 32 28 50 44 32 50 44 28 72 51 33 50 32 50 34 32 50 44 28 44 32 34 44 28 44 28 28 50 50 39 25 32 50 50 28 32 50 33 50 44 34 28 50 49 25 32 50 34 44 50 44 50 28 51 50 1]X 792 4718 M (and looping behaviors are extremely difficult to specify.\224) [44 50 50 25 28 50 50 50 28 50 49 25 50 44 50 44 50 28 50 33 39 25 44 33 44 25 44 51 28 33 44 78 44 28 47 25 50 28 33 33 28 44 50 28 28 25 28 50 25 39 50 44 44 28 33 47 25 1]X 3076 4718 M ( ) [1]X 942 4973 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 5270 M (2.2.4 Object) [67 33 67 33 67 33 103 74 44 59 59 1]X 1475 5270 M (-) [1]X 1519 5270 M (Oriente) [103 59 37 59 74 44 1]X 1954 5270 M (d Representation ) [74 33 96 59 74 59 59 52 59 74 44 67 44 37 67 74 1]X 2959 5270 M ( ) [1]X [100 0 0 -100 0 0]/_Times-Roman MF 792 5577 M (An ) [72 50 1]X [100 0 0 -100 0 0]/Times-Italic MF 949 5577 M (object ) [50 50 28 44 44 28 1]X [100 0 0 -100 0 0]/_Times-Roman MF 1228 5577 M (is defined as a collection of information \(i.e. the data\) representing an entity ) [28 40 35 50 44 33 28 50 44 51 35 44 40 36 44 35 44 50 28 28 45 44 28 28 50 50 35 50 33 35 28 50 33 51 33 78 44 28 28 50 50 35 33 28 25 44 25 35 28 50 45 35 50 44 28 45 33 35 34 44 50 34 44 39 45 50 28 28 50 49 35 44 51 35 44 50 28 28 30 48 1]X 792 5806 M (within the real world and a description of how this information is manipulated \(i.e. the ) [72 28 28 50 28 50 35 28 50 44 35 33 45 44 28 35 72 50 33 28 50 36 44 51 50 35 44 35 51 44 39 44 33 28 50 28 28 50 50 35 50 34 35 50 50 72 35 29 50 28 39 35 28 50 33 50 33 78 44 28 28 50 50 35 28 39 35 78 44 50 28 51 50 28 44 28 44 50 35 33 28 25 44 26 35 28 50 44 1]X showpage %%Page: 23 23 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (23) [50 1]X 792 582 M (associated procedures\). Several principles of the object) [44 39 39 50 44 28 44 28 44 50 38 50 33 50 45 44 50 50 33 44 40 33 25 38 56 44 50 44 33 44 28 38 50 33 28 50 44 28 50 28 44 39 38 50 33 38 28 50 45 38 50 50 28 44 44 1]X 3070 582 M (-) [1]X 3103 582 M (o) [1]X 3153 582 M (riented approach make it well ) [33 28 44 50 28 44 50 38 44 50 50 33 51 44 45 50 38 78 44 50 44 38 28 28 38 72 44 28 27 1]X 792 812 M (suited for representing knowledge, like abstraction, encapsulation or information hiding, ) [39 50 28 28 44 50 32 33 50 33 32 33 44 50 34 44 39 44 50 28 28 51 49 32 50 50 50 72 28 44 50 50 44 25 32 28 28 50 44 32 44 50 39 28 33 45 44 28 28 50 50 25 32 44 50 44 44 50 39 50 28 44 28 28 50 50 32 50 33 32 28 50 33 50 34 78 44 28 28 50 50 32 50 28 50 28 50 49 26 1]X 792 1042 M (inheritance and polymorphism. Although the object has much in common with frames ) [28 50 50 44 33 28 28 44 50 44 44 39 44 50 50 39 50 50 30 48 78 50 34 50 50 28 39 78 25 39 72 28 28 50 50 50 49 50 39 28 50 44 39 50 50 27 44 44 28 39 50 44 39 39 78 50 44 50 39 28 50 39 44 50 78 78 50 50 39 72 28 28 50 39 33 33 44 78 44 39 1]X 792 1272 M (such as they both support semantic networks, inheritanc) [39 50 44 50 31 44 39 31 28 50 45 48 31 50 50 28 50 31 39 50 50 50 50 33 28 31 39 44 78 44 50 28 28 44 31 50 44 28 72 50 33 50 39 25 31 28 50 50 44 33 28 28 44 50 1]X 3069 1272 M (e, abstraction and the concept of ) [44 25 31 44 50 39 28 34 44 44 28 28 50 50 31 44 50 50 32 28 50 44 31 44 50 50 44 44 50 28 31 50 33 1]X 792 1502 M (procedural attachments, the object) [50 33 50 44 44 50 50 34 44 28 40 44 28 28 45 44 50 78 44 50 28 39 25 41 28 50 44 40 50 50 28 44 44 1]X 2209 1502 M (-) [1]X 2242 1502 M (oriented representation is superior to frames in that ) [51 33 28 44 50 28 44 50 41 33 44 50 34 45 39 44 50 28 44 28 28 50 50 40 28 39 40 39 50 50 44 33 28 50 34 40 28 50 41 33 33 44 78 44 39 40 28 51 40 28 50 44 28 1]X 792 1732 M (object methods \(procedures\) are more universal since they provide any type of general ) [50 50 28 44 44 28 37 78 44 28 50 50 50 39 37 33 50 33 50 44 44 50 51 33 44 39 33 37 44 34 44 37 78 50 33 44 37 50 50 28 50 44 33 39 44 28 38 39 28 50 44 44 37 28 50 45 48 37 50 33 50 50 28 51 44 37 44 52 47 37 29 48 51 44 37 50 33 38 49 44 51 44 34 44 28 1]X 792 1962 M (computation needed and support encapsulation an) [44 50 78 50 50 28 44 28 28 50 50 28 50 44 44 50 44 50 29 44 50 50 29 39 50 50 50 50 33 28 28 44 50 44 44 50 39 50 28 44 28 28 50 50 29 44 1]X 2805 1962 M (d polymorphism. The essential ideas of ) [50 28 50 50 29 48 78 50 33 50 50 28 39 78 25 28 61 50 44 29 44 39 40 44 50 28 28 44 28 28 28 50 44 44 39 28 50 33 1]X 792 2192 M (object is to describe data not by its internal structure, but by its externally observable ) [50 50 28 44 44 28 40 28 39 40 28 50 40 50 44 39 44 33 28 50 44 40 50 44 27 44 40 50 50 28 40 51 47 40 28 28 39 40 28 50 28 44 33 50 44 28 40 39 28 33 50 44 28 50 33 44 25 40 50 50 28 40 51 47 40 28 28 39 40 44 51 28 44 33 50 45 28 29 47 40 50 50 39 45 33 50 44 50 28 45 1]X 792 2422 M (behavior. This separates the issue of how the data is implemented from what it achieves. ) [50 44 50 44 50 28 50 33 25 29 61 50 28 40 29 39 44 50 45 33 44 28 44 39 30 28 50 44 29 28 39 39 50 44 29 50 34 29 50 50 72 29 28 51 44 29 51 44 28 45 29 28 39 29 28 78 50 28 44 78 44 50 28 44 50 29 34 33 50 78 29 72 51 44 28 29 28 28 29 44 44 50 29 44 50 44 39 26 1]X 792 2652 M (While frame demons serve only to comp) [95 50 28 28 44 26 33 33 44 78 44 26 51 44 78 50 50 39 26 39 44 34 50 44 26 50 50 30 48 26 28 50 26 44 50 78 1]X 2426 2652 M (ute values for the various slots or to maintain the ) [50 28 45 26 50 44 28 50 45 39 26 33 50 33 26 28 50 45 26 50 44 33 28 50 50 40 26 39 28 50 28 39 26 50 33 27 28 50 26 78 44 28 50 28 44 28 50 26 28 50 45 1]X 792 2882 M (integrity of the knowledge base whenever an action by one frame affects another. Hence, ) [28 50 28 44 49 33 28 30 48 28 50 33 28 28 50 44 28 50 50 50 72 28 44 51 50 44 28 50 44 39 44 28 72 50 45 50 44 50 45 33 28 44 50 28 45 44 28 28 50 50 28 51 48 28 50 50 44 28 34 33 44 78 44 29 44 33 34 44 44 28 39 28 45 50 50 28 50 44 33 25 28 72 44 50 45 44 26 1]X 792 3112 M (the object) [28 50 44 49 50 50 28 44 44 1]X 1207 3112 M (-) [1]X 1240 3112 M (oriented representation creates a much tighter bond between the data and ) [50 33 28 44 50 28 44 50 49 33 44 51 34 44 39 44 50 28 44 28 28 50 50 49 44 33 45 44 28 44 39 49 44 49 78 50 44 50 49 28 28 49 50 28 44 33 49 50 50 50 50 49 50 44 28 72 44 45 50 49 28 50 44 49 50 44 28 44 49 44 50 50 1]X 792 3342 M (action than frames [Gonzalez 93]) [44 44 28 28 50 50 25 28 50 44 50 25 33 33 44 78 44 39 25 34 72 50 50 45 44 28 44 45 25 50 50 1]X 2125 3342 M (.) [1]X 2150 3342 M ( ) [1]X 792 3672 M (Although the object) [72 28 28 50 50 50 49 50 44 28 50 44 44 50 50 28 45 44 1]X 1624 3672 M (-) [1]X 1657 3672 M (oriented knowledge representation is considered as a natural and ) [50 33 28 45 50 28 44 50 44 50 50 50 72 28 44 51 49 44 44 34 44 50 33 44 40 45 50 28 44 28 28 50 50 44 28 39 44 44 50 50 39 28 50 44 33 44 50 44 44 40 44 44 44 50 44 28 50 33 44 28 44 44 50 51 1]X 792 3902 M (effective approach, the use of object) [44 33 33 45 44 28 28 50 44 44 44 50 51 33 50 45 44 50 25 44 28 50 44 45 50 39 44 44 50 33 44 50 50 28 45 44 1]X 2337 3902 M (-) [1]X 2370 3902 M (oriented within complex image analysis has not ) [50 33 28 44 50 29 44 50 45 72 28 28 50 28 50 44 44 50 78 50 28 44 51 44 28 78 44 49 44 45 45 50 44 29 48 39 28 39 44 50 44 40 44 50 50 28 1]X 792 4132 M (undergone a rapid growth as it happened in other fields. We argue that one of major ) [50 50 50 44 34 49 50 50 44 42 44 42 33 44 50 28 50 42 49 33 51 73 28 50 41 44 39 41 28 28 41 50 44 50 51 44 50 44 50 41 28 51 41 50 28 50 44 33 41 33 29 44 28 50 39 25 41 95 44 41 44 34 49 51 44 41 28 50 44 29 41 50 50 44 41 50 34 41 78 44 28 50 34 1]X 792 4362 M (problem comes form the difficulty of conceiving a comprehensive framework for coping ) [50 33 50 50 28 44 78 29 44 50 78 44 40 29 33 50 33 78 29 28 51 44 30 50 28 33 33 28 44 50 28 29 48 30 50 33 30 44 50 50 44 44 28 50 28 51 49 30 44 29 44 50 78 50 34 44 50 44 50 39 28 50 45 29 33 34 44 78 44 73 50 33 50 29 33 50 34 29 44 50 50 28 51 50 1]X 792 4592 M (with the different abstraction levels and the vision task operations. With the goal to ) [72 28 28 50 46 28 50 44 46 50 28 33 33 44 33 44 50 28 47 44 50 39 28 33 45 44 28 28 50 50 46 28 44 50 44 28 39 46 44 50 50 46 28 50 44 46 50 28 40 28 50 50 46 28 44 39 50 46 50 50 44 33 44 28 28 50 50 39 25 46 95 28 27 50 46 28 50 44 46 49 51 44 28 46 28 50 1]X 792 4822 M (overcome such a drawback, we present a new knowledge model for processing and ) [50 50 44 33 44 50 78 44 48 39 50 44 50 48 44 48 50 33 45 72 51 44 44 50 25 48 72 44 48 50 33 44 40 44 50 28 48 44 48 50 44 72 48 50 50 50 72 28 44 50 50 44 48 78 50 50 44 28 48 33 50 33 48 50 33 50 44 44 39 39 28 51 49 48 44 50 50 1]X 792 5052 M (analyz) [44 50 44 30 47 1]X 1052 5052 M (ing of medical images based on the object) [28 51 49 29 50 33 29 78 44 50 28 44 44 28 29 28 78 44 50 44 39 29 50 44 39 44 50 29 50 50 29 28 50 44 29 50 50 28 44 44 1]X 2758 5052 M (-) [1]X 2792 5052 M (oriented knowledge representation. The ) [50 33 28 44 50 28 44 50 29 50 50 50 72 28 44 51 49 44 29 34 44 50 34 44 39 44 50 28 44 28 28 50 50 25 29 61 50 45 1]X 792 5282 M (model aims to provide an efficient and effective framework to represent the knowledge ) [78 50 50 44 28 34 44 28 78 39 34 28 50 34 50 33 50 50 28 50 45 34 45 50 34 44 33 33 29 44 28 44 50 28 34 44 50 51 34 44 34 33 44 44 28 28 50 45 35 33 33 44 78 44 72 51 33 50 34 28 50 35 33 44 50 34 44 39 44 50 28 34 29 50 44 34 50 50 50 72 28 44 51 50 44 1]X 792 5512 M (related with processed images and combine it with image routines for better image ) [33 44 28 44 28 44 50 50 72 28 28 50 50 50 33 50 44 44 39 39 44 50 50 29 78 44 50 44 39 50 44 50 50 50 44 50 78 50 28 50 44 50 28 28 49 72 28 28 50 50 28 78 44 49 44 50 33 50 50 28 28 50 44 39 50 33 50 34 50 50 44 28 28 44 33 50 28 78 44 49 45 1]X 792 5742 M (underst) [50 50 50 44 33 39 1]X 1086 5742 M (anding.) [44 50 50 28 50 49 1]X 1382 5742 M ( ) [1]X showpage %%Page: 24 24 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (24) [50 1]X 792 582 M ( ) [1]X [150 0 0 -150 0 0]/Times-Bold MF 792 861 M (2.3) [75 38 1]X 980 861 M ( ) [1]X 1092 861 M (Strategies for Dealing with Complexity ) [83 50 67 75 50 67 75 42 67 58 38 50 75 67 38 108 67 75 42 42 83 75 38 110 42 50 83 38 108 75 125 83 42 67 75 42 50 76 1]X 3628 861 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1156 M (Image understanding has to deal with the ) [32 79 45 49 44 32 50 50 51 44 33 39 28 44 50 50 28 51 49 32 51 44 40 32 28 50 32 50 44 44 28 33 72 28 28 50 32 28 50 44 1]X [100 0 0 -100 0 0]/Times-BoldItalic MF 2512 1156 M (Symbol) [56 44 79 50 50 1]X 2819 1156 M (-) [1]X 2852 1156 M (to) [28 1]X 2930 1156 M (-) [1]X 2963 1156 M (Signal Gap) [56 28 50 56 50 28 33 72 50 1]X [100 0 0 -100 0 0]/Times-Roman MF 3436 1156 M ( and extract a symbolic ) [32 44 50 50 32 44 51 28 33 44 44 28 32 45 32 41 47 78 50 50 28 28 45 1]X 792 1386 M (description from an image. According to the characteristics of different processes, the ) [50 44 39 44 33 28 50 28 28 50 50 40 34 33 50 78 40 44 51 40 28 78 45 49 44 26 40 73 44 44 50 33 50 28 51 50 40 28 50 40 28 50 45 40 44 51 44 33 45 44 28 44 33 28 39 28 28 44 39 40 50 34 40 50 28 33 34 44 33 44 50 29 40 50 33 50 45 44 39 39 44 39 25 40 28 50 45 1]X 792 1616 M (image understanding system can be ) [28 78 44 49 44 50 50 50 51 44 33 39 28 44 50 50 28 51 49 50 41 49 39 28 44 78 50 44 44 50 50 50 44 1]X 2364 1616 M (classified into the following four representation ) [44 28 44 39 39 28 33 28 44 50 51 28 50 28 50 50 28 50 44 50 33 50 28 28 50 72 28 50 49 50 33 50 51 34 50 33 44 50 33 44 40 44 50 28 44 28 28 50 50 1]X 792 1846 M (levels, as shown in fig 2) [28 44 50 44 28 39 25 25 44 39 25 39 50 50 72 50 25 28 50 25 33 28 49 25 1]X 1757 1846 M (-) [1]X 1790 1846 M (1) [1]X 1840 1846 M ( ) [1]X 972 2076 M (1.) [50 1]X 1047 2076 M ( ) [1]X 1152 2076 M (Preprocessing: Improve and normalize the raw image data) [56 33 44 50 33 50 44 44 39 39 28 50 49 28 25 31 78 50 33 50 50 44 25 44 50 50 25 50 50 33 78 44 28 28 45 44 25 28 50 44 25 33 44 72 25 28 78 44 49 44 25 50 44 28 1]X 3474 2076 M ( ) [1]X 972 2306 M (2.) [50 1]X 1047 2306 M ( ) [1]X 1152 2306 M (Segmentation: Extract the relevant image features \(regions, edges, features\) by ) [56 44 49 78 44 50 28 44 28 28 50 50 28 35 61 51 28 33 44 44 28 35 28 50 44 35 33 44 28 44 51 44 50 28 35 28 78 44 50 44 35 33 44 44 28 51 33 45 39 35 33 33 45 49 28 50 50 39 25 35 44 51 49 44 39 25 35 33 45 44 28 50 34 44 39 33 35 51 49 1]X 1752 2535 M (top) [28 50 1]X 1880 2535 M (-) [1]X 1913 2535 M (down or bottom) [50 50 72 50 25 50 33 25 50 50 28 28 50 1]X 2552 2535 M (-) [1]X 2585 2535 M (up analysis) [50 50 25 44 50 44 28 47 39 28 1]X 3029 2535 M ( ) [1]X 972 2765 M (3.) [50 1]X 1047 2765 M ( ) [1]X 1152 2765 M (Object reco) [72 50 28 44 44 28 33 33 45 44 1]X 1624 2765 M (gnition: Employ the priori knowledge about the expected objects to ) [49 50 28 28 28 50 50 28 33 61 78 50 28 51 48 33 28 50 44 33 50 33 28 50 33 28 33 50 50 50 72 28 44 51 50 45 33 44 50 50 50 28 33 28 50 44 33 44 51 50 44 44 28 44 50 33 50 50 28 45 44 28 39 33 28 49 1]X 1992 2995 M (recognize objects, and extract a symbolic description to the ) [33 44 44 51 49 50 28 45 44 29 50 50 28 44 44 28 39 25 29 44 50 50 29 44 52 28 33 44 44 28 29 44 29 41 48 78 50 50 28 28 44 29 50 44 39 44 33 28 50 28 29 50 50 29 28 50 29 28 50 43 1]X 1992 3225 M (objects) [50 50 28 44 44 28 1]X 2275 3225 M ( ) [1]X 972 3455 M (4.) [50 1]X 1047 3455 M ( ) [1]X 1152 3455 M (Image understanding: Combine the knowledge base and the processed results to ) [32 79 45 49 44 29 50 50 50 45 33 39 28 44 50 50 28 51 49 28 29 67 50 78 50 28 50 44 29 28 50 44 29 50 50 50 72 28 44 51 49 44 29 51 45 39 44 29 44 50 50 29 28 50 44 29 50 33 51 44 44 39 39 44 50 30 33 44 40 50 28 28 39 29 28 49 1]X 2052 3684 M (interpret the image scene.) [28 50 28 44 33 50 33 44 28 25 28 50 44 25 28 78 44 49 44 25 39 44 44 50 44 1]X 3076 3684 M ( ) [1]X 792 3914 M (As can be seen, ) [72 39 42 44 44 50 42 50 44 42 39 44 44 50 25 1]X 1505 3914 M (the knowledge sources have an influence on each of these levels. In ) [28 50 44 42 50 50 50 72 28 44 50 50 44 42 39 50 50 33 44 44 39 42 50 44 51 44 42 45 50 42 28 50 33 28 50 44 50 44 44 42 50 50 42 44 44 44 50 42 50 33 42 28 50 44 39 44 42 28 44 50 44 28 39 25 43 31 51 1]X 792 4144 M (general, the knowledge based image analysis systems have to face three fundamental ) [49 44 51 44 34 44 28 25 43 28 50 44 43 50 50 50 72 28 44 51 50 44 44 50 44 39 44 50 43 28 78 45 49 45 43 44 50 44 30 48 39 28 39 43 41 49 39 28 44 78 39 43 50 44 50 44 43 28 50 44 33 44 45 44 43 28 50 33 45 44 43 33 50 50 50 44 79 44 50 28 44 29 1]X 792 4374 M (issues: what knowledge relates to a problem, how that knowledge should be represented ) [28 39 39 50 44 39 28 31 72 50 44 28 31 50 50 50 72 28 44 51 50 44 32 33 44 28 44 28 44 39 31 28 50 32 44 31 50 33 50 50 29 44 78 25 31 50 51 72 31 28 50 44 28 31 50 50 50 72 28 44 51 50 44 31 39 50 50 50 28 51 31 50 44 31 34 44 50 33 44 40 44 50 28 44 50 1]X 792 4604 M (and how and when th) [44 50 50 39 50 50 72 39 44 50 50 39 72 50 44 50 39 28 1]X 1703 4604 M (at knowledge should be used. Due to these issues, the design of ) [44 28 39 50 50 50 72 28 44 50 50 44 39 39 50 50 50 28 50 39 50 44 39 50 40 44 50 25 39 72 50 44 39 28 50 39 28 50 44 39 44 39 28 39 39 50 44 39 26 39 28 50 44 39 50 44 39 28 49 50 39 50 34 1]X 792 4833 M (knowledge) [50 50 50 72 28 44 50 50 1]X 1230 4833 M (-) [1]X 1263 4833 M (based image understanding systems is more complex than that of traditional ) [51 44 39 44 50 34 28 78 45 49 44 35 50 50 50 44 33 39 28 44 50 50 28 51 49 34 40 48 39 29 44 78 39 34 28 39 34 78 50 33 44 34 44 50 78 50 28 44 51 34 28 50 44 50 34 28 50 44 28 34 50 33 34 28 33 44 50 28 28 28 50 50 44 28 1]X 792 5063 M (image analysis systems. In this section, we examine some of the techniques for dealing ) [28 78 44 49 45 34 44 50 44 30 48 39 28 39 34 41 48 39 28 44 78 39 25 35 32 51 34 28 50 28 39 34 39 44 44 28 28 50 50 25 34 72 45 34 44 51 44 78 28 50 44 34 39 50 78 44 34 50 33 34 28 51 44 34 28 44 44 50 50 28 50 51 44 39 34 33 50 33 34 51 44 44 28 28 51 50 1]X 792 5293 M (with complexity and ) [72 28 28 50 29 44 50 78 50 28 44 51 28 29 47 29 44 50 50 1]X 1650 5293 M (analyze how to embed them into our object) [44 50 45 29 47 46 44 29 50 50 72 29 28 50 29 44 78 50 44 50 29 28 50 44 78 29 28 50 28 50 29 50 50 33 29 50 50 28 44 44 1]X 3407 5293 M (-) [1]X 3440 5293 M (oriented image analysis ) [50 33 28 44 50 28 44 50 29 28 78 44 49 44 30 44 50 44 30 48 39 28 40 1]X 792 5523 M (knowledge model design.) [50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 25 50 44 39 28 49 50 1]X 1814 5523 M ( ) [1]X 1092 5753 M ( ) [1]X showpage %%Page: 25 25 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (25) [50 1]X 1452 1290 M (Goal) [72 50 44 1]X 1646 1290 M ( ) [1]X 1377 2115 M (Objects) [72 50 28 44 44 28 1]X 1682 2115 M ( ) [1]X 1302 3015 M (Image features) [31 78 44 49 44 25 33 44 44 28 50 33 44 1]X 1888 3015 M ( ) [1]X 1 setlinecap 6 sl n 600 300 1317 3942 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 1380 4068 M ( ) [1]X n 600 300 1242 4017 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 1305 4143 M ( ) [1]X n 675 300 1092 4167 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 1155 4290 M (Raw Images) [67 44 72 25 31 78 44 49 44 1]X 1648 4290 M ( ) [1]X 1155 4408 M (data) [50 44 28 1]X 1321 4408 M ( ) [1]X n 1894 4531 M 2018 4542 2126 4469 2135 4368 c 2144 4263 L 2151 4186 2097 4111 2010 4078 c 2014 4025 L 1931 4113 L 1996 4234 L 2000 4182 L 2066 4208 2114 4257 2130 4315 c 2130 4315 L 2095 4390 2003 4435 1904 4427 c cp 1 g e n 1894 4531 M 2018 4542 2126 4469 2135 4368 c 2136 4350 2135 4332 2130 4315 c 2130 4315 L 2095 4390 2003 4435 1904 4427 c cp 0.805 g e 1 j 0 g n 1894 4531 M 2018 4542 2126 4469 2135 4368 c 2144 4263 L 2151 4186 2097 4111 2010 4078 c 2014 4025 L 1931 4113 L 1996 4234 L 2000 4182 L 2066 4208 2114 4257 2130 4315 c 2130 4315 L 2095 4390 2003 4435 1904 4427 c cp CM [1 0 0 1 -108 -108] concat s SM n 2135 4368 M 2136 4350 2135 4332 2130 4315 c CM [1 0 0 1 -108 -108] concat s SM n 1542 1992 M 1542 1380 L CM [1 0 0 1 -108 -108] concat s SM n 1575 1383 M 1542 1318 L 1510 1383 L cp e n 1542 2892 M 1542 2280 L CM [1 0 0 1 -108 -108] concat s SM n 1575 2283 M 1542 2218 L 1510 2283 L cp e n 1542 3867 M 1542 3180 L CM [1 0 0 1 -108 -108] concat s SM n 1575 3183 M 1542 3118 L 1510 3183 L cp e 0 j n 900 300 2742 1467 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 2805 1593 M (Destination) [72 44 39 28 28 50 44 28 28 50 1]X 3266 1593 M ( status) [25 39 28 44 28 50 1]X 3519 1593 M ( ) [1]X 2712 1395 M (4) [1]X [67 0 0 -67 0 0]/Times-Roman MF gs n 17 63 2762 1302 CB 2762 1349 M ( ) [1]X gr [100 0 0 -100 0 0]/Times-Roman MF 2779 1395 M (th: Image un) [28 50 28 25 31 78 44 49 44 25 50 1]X 3281 1395 M (derstanding) [50 44 33 39 28 44 50 50 28 50 1]X 3746 1395 M ( ) [1]X 1 j n 2742 1617 M 1680 1617 L CM [1 0 0 1 -108 -108] concat s SM n 1683 1585 M 1618 1618 L 1683 1650 L cp e 0 j n 900 450 2742 2292 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 2805 2415 M (Surface 2D, 3D) [56 50 33 33 44 44 44 25 50 72 25 25 50 1]X 3428 2415 M ( ) [1]X 2805 2530 M (Volume 3D) [72 50 28 50 78 44 25 50 1]X 3274 2530 M ( ) [1]X 2805 2645 M (Contours) [67 50 50 28 50 50 33 1]X 3172 2645 M ( ) [1]X gs n 25 39 2805 2670 CB 2805 2760 M ( ) [1]X gr gs n 45 39 2830 2670 CB 2830 2760 M ( ) [1]X gr 2712 2235 M (3 rd: Object Recognition) [50 25 33 50 28 25 72 50 28 44 44 28 25 67 44 44 50 49 50 28 28 28 50 1]X gs n 15 114 3702 2145 CB 3702 2235 M ( ) [1]X gr 1 j n 2757 2532 M 1695 2532 L CM [1 0 0 1 -108 -108] concat s SM n 1698 2500 M 1632 2532 L 1698 2565 L cp e 0 j n 900 420 2772 3192 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 2835 3315 M (Regions, edges) [67 44 49 28 50 50 39 25 25 44 50 49 44 1]X 3438 3315 M ( ) [1]X 2835 3430 M (Texture, shape) [61 44 51 28 50 33 44 25 25 39 50 44 50 1]X 3423 3430 M ( ) [1]X 2835 3548 M (Color, etc) [67 50 28 50 33 25 25 44 28 1]X 3229 3548 M ( ) [1]X 2712 3135 M (2) [1]X [67 0 0 -67 0 0]/Times-Roman MF gs n 17 63 2762 3042 CB 2762 3089 M ( ) [1]X gr [100 0 0 -100 0 0]/Times-Roman MF 2779 3135 M (nd: Segmentation) [50 50 28 25 56 44 49 78 44 50 28 44 28 28 50 1]X 3481 3135 M ( ) [1]X 1 j n 2757 3432 M 1695 3432 L CM [1 0 0 1 -108 -108] concat s SM n 1698 3400 M 1632 3432 L 1698 3465 L cp e 0 j n 900 300 2772 4212 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 2835 4335 M (Filtering, ) [55 28 28 28 44 33 28 50 49 25 1]X 3228 4335 M ( ) [1]X 2835 4450 M (Thresholding, etc) [61 50 33 44 39 50 50 28 50 28 50 49 25 25 44 28 1]X 3533 4450 M ( ) [1]X gs n 45 4 2835 4475 CB 2835 4565 M ( ) [1]X gr 2712 4155 M (1 st: Preprocessing) [50 25 39 28 28 25 56 33 44 50 33 50 44 44 39 39 28 50 1]X 3466 4155 M ( ) [1]X 1 j n 2772 4332 M 2235 4332 L CM [1 0 0 1 -108 -108] concat s SM n 2238 4300 M 2172 4332 L 2238 4365 L cp e [92 0 0 -92 0 0]/Times-Roman MF 1452 5107 M (Fig 2) [51 26 45 23 1]X 1643 5107 M (-) [1]X 1672 5107 M (1: General levels in an image analysis system) [46 26 23 23 66 41 46 41 31 41 26 23 26 41 45 41 26 36 23 26 46 23 41 46 23 26 70 41 45 41 23 41 46 41 26 45 36 26 36 23 36 45 36 26 41 1]X 3368 5107 M ( ) [1]X showpage %%Page: 26 26 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (26) [50 1]X 1092 582 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 846 M (2.3.1) [67 33 67 33 1]X 1059 846 M ( ) [1]X 1092 846 M ( Abstraction) [33 33 96 74 52 44 59 67 59 44 37 67 1]X 1831 846 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1118 M (The most common and effective technique for dealing with complexity is abstraction, ) [61 50 44 41 78 50 39 28 41 44 50 78 78 50 50 41 44 50 50 40 44 33 33 45 44 28 28 50 44 41 28 44 44 50 50 28 50 50 44 41 33 51 33 41 50 44 44 28 28 50 49 41 72 28 28 50 41 44 50 78 50 28 44 51 28 29 49 41 28 39 41 44 50 39 28 33 44 44 28 28 50 50 25 1]X 792 1348 M (which ignoring aspects of some entities th) [72 50 28 44 50 33 28 49 50 51 33 28 50 49 34 44 39 50 44 44 28 39 33 51 33 33 39 50 78 44 33 44 50 28 28 28 28 44 39 33 28 1]X 2523 1348 M (at are not relevant to the current problem and ) [44 28 33 44 33 44 33 51 50 28 33 33 44 28 44 50 44 50 28 33 28 50 33 28 50 44 33 44 51 33 33 44 50 29 33 50 33 50 50 28 44 78 33 44 50 51 1]X 792 1578 M (concentrating more on those relevant aspects. General speaking, the abstraction ) [44 50 50 44 44 50 28 34 44 28 28 50 49 72 78 50 34 44 72 50 50 72 28 50 50 39 44 72 33 44 28 44 50 44 50 28 72 44 39 50 44 44 29 39 25 72 72 44 50 44 33 44 28 72 39 50 45 44 50 28 50 49 25 72 29 50 44 72 44 50 39 28 33 44 44 28 28 50 51 1]X 792 1808 M (encourages both procedural and data abstraction. In procedural abstraction, an operation ) [44 50 44 50 50 34 45 49 44 39 32 50 50 28 50 32 51 33 50 44 44 50 51 33 44 28 32 44 50 51 32 50 44 28 45 32 44 50 39 28 33 45 44 28 28 50 50 25 33 32 51 32 50 33 50 45 44 50 50 33 44 29 32 44 50 39 28 33 45 44 28 28 50 50 25 32 44 50 32 50 50 45 33 44 28 28 50 51 1]X 792 2037 M (can be viewed as a single entity even th) [44 44 50 50 50 44 50 50 29 44 72 44 50 51 44 39 50 44 50 39 28 51 49 28 44 51 44 50 28 28 29 48 51 44 50 44 50 50 28 1]X 2575 2037 M (ough it is actually achieved through some ) [50 51 49 50 51 28 28 50 28 39 50 44 44 28 50 44 28 29 48 50 45 44 50 28 44 50 44 51 50 28 50 33 50 50 49 50 50 39 50 78 45 1]X 792 2267 M (sequence of low) [39 44 50 50 44 50 45 44 37 50 33 37 28 50 1]X 1466 2267 M (-) [1]X 1499 2267 M (level operations. Data abstraction is similar. An object is viewed as a ) [28 44 50 44 28 37 51 50 44 33 44 28 28 50 50 39 25 37 72 44 29 44 37 44 50 39 28 34 44 44 28 29 50 50 37 28 39 37 39 28 78 28 28 44 33 25 37 72 50 37 50 50 28 44 44 28 38 28 39 37 50 28 44 72 44 50 37 44 40 37 45 1]X 792 2497 M (single object rather than as a composite of all of its individual parts. This suppression of ) [39 28 50 49 28 44 30 50 50 28 45 44 28 30 33 44 28 51 44 33 30 28 50 44 51 31 44 39 30 44 31 44 50 78 50 50 39 28 28 44 30 50 33 30 44 28 28 30 51 33 30 29 28 39 30 28 50 50 28 50 28 50 50 44 28 30 50 44 33 28 39 25 30 61 50 28 39 30 39 50 50 50 33 44 39 39 28 50 50 30 50 33 1]X 792 2727 M (the lower) [28 50 44 39 28 50 72 44 1]X 1181 2727 M (-) [1]X 1214 2727 M (level details allows us) [28 44 50 44 28 39 51 44 28 44 28 28 39 39 45 28 28 50 72 39 39 50 1]X 2138 2727 M ( to reason about the operation or object at hand more ) [39 28 50 39 33 45 44 39 50 50 39 44 50 50 51 28 39 28 50 44 39 50 50 44 34 44 28 28 50 50 39 50 33 39 50 50 29 44 44 29 39 44 28 39 50 44 50 51 39 78 50 33 45 1]X 792 2957 M (efficiently. ) [44 33 33 28 44 28 44 50 28 30 48 25 1]X 1264 2957 M (However, the major problems in abstraction are how to determine levels of ) [72 50 73 44 50 44 33 25 37 28 50 45 37 78 44 28 50 33 37 50 33 50 50 28 44 78 39 37 28 50 37 44 50 39 27 33 44 44 28 28 50 50 37 44 33 44 37 50 50 72 37 28 50 37 50 44 28 44 34 78 28 50 44 37 28 44 50 44 28 39 37 50 33 1]X 792 3187 M (abstraction and which aspects are significant at each level.) [44 50 39 28 33 44 44 28 28 50 50 25 44 50 50 25 72 50 28 44 50 25 44 39 50 44 44 28 39 25 44 33 44 25 39 28 49 50 28 33 28 44 44 50 28 25 44 28 25 44 44 44 50 25 28 44 50 44 28 1]X 3121 3187 M ( ) [1]X 792 3417 M ( ) [1]X 972 3417 M (Based on the properties of representation levels in t) [66 44 39 44 51 40 50 50 40 28 50 45 40 50 33 50 50 45 33 28 28 44 40 40 50 33 40 34 44 50 33 44 40 44 50 28 44 28 28 50 50 40 28 44 51 44 28 39 40 28 50 40 1]X 3150 3417 M (he image analysis system, we ) [50 44 40 28 78 45 50 44 40 44 51 44 30 47 39 28 40 40 39 48 40 28 44 78 25 40 73 45 1]X 792 3646 M (classify the knowledge base into two levels of abstraction: the detail level and the ) [44 28 44 39 39 28 35 47 51 28 51 44 51 50 50 50 72 28 44 51 49 44 52 50 44 39 44 51 28 50 28 50 51 28 72 50 51 28 44 50 44 28 39 51 50 34 51 44 50 39 28 33 44 44 28 28 50 50 28 51 28 50 44 51 50 44 28 44 28 28 52 28 44 50 44 28 51 44 50 50 51 28 50 44 1]X 792 3876 M (schematic level. ) [39 44 50 44 78 44 28 28 44 25 28 44 50 44 28 25 1]X 1460 3876 M ( ) [1]X 792 4106 M ( ) [1]X 972 4106 M (The detail level directly deals with image data and focuses more on low) [61 50 44 29 50 44 28 44 28 28 29 28 44 50 44 28 29 50 28 33 45 44 28 29 48 30 50 44 44 28 39 29 72 28 28 50 29 28 78 44 50 44 29 50 44 28 44 30 44 51 50 29 33 50 44 50 39 44 39 29 78 50 33 44 29 50 50 29 28 50 1]X 3891 4106 M (-) [1]X 3924 4106 M (level image ) [28 44 50 44 28 29 28 78 45 49 45 1]X 792 4336 M (processing procedures, such as image pr) [50 33 50 44 44 39 39 28 51 49 87 50 33 50 45 44 50 50 33 44 39 26 87 39 50 44 50 87 44 39 87 28 78 44 50 44 87 50 1]X 2711 4336 M (eprocessing, segmentation and object ) [45 50 33 50 44 44 39 39 28 51 49 25 87 39 45 49 78 44 50 28 44 28 28 51 50 87 44 50 50 87 50 50 28 44 44 29 1]X 792 4566 M (recognition. Thus, it includes concepts for modeling the expected object structure and ) [33 44 44 51 49 50 28 28 28 50 50 25 40 61 50 50 39 25 40 28 29 40 28 50 45 28 50 50 44 39 40 44 50 50 45 44 50 28 39 40 33 51 33 40 78 50 50 45 28 28 50 49 40 28 50 45 40 44 51 50 44 44 28 44 51 40 50 50 28 44 44 29 40 39 28 33 50 44 28 50 33 45 40 44 50 51 1]X 792 4795 M (behavior, such as how to specify the object properties, associations for the object ) [50 44 50 44 50 28 50 33 25 55 39 50 44 51 55 44 39 55 50 50 73 55 28 50 55 39 50 44 44 28 35 48 55 28 50 44 55 50 50 29 44 44 28 56 50 33 50 50 44 33 28 28 44 39 25 55 44 39 39 51 44 28 44 28 28 50 50 39 56 33 50 33 55 28 50 44 55 50 50 28 45 44 28 1]X 792 5025 M (relationship, and how to design the correspondin) [33 44 28 44 28 28 50 50 39 50 28 50 25 37 44 50 50 37 50 50 72 37 28 51 37 50 44 39 28 49 50 37 28 51 44 37 44 51 33 33 44 39 50 50 50 50 28 1]X 2812 5025 M (g control schemes and efficient match ) [49 38 44 50 50 28 33 50 28 37 39 44 50 44 79 44 39 37 44 50 50 38 45 33 33 28 44 28 44 50 28 37 78 44 28 44 51 1]X 792 5255 M (strategies to detect the objects in images. ) [39 28 33 44 28 44 49 28 44 39 25 28 50 25 50 44 28 44 44 28 25 28 50 44 25 50 50 28 44 44 28 39 25 28 50 25 28 78 44 49 44 39 25 1]X 2449 5255 M ( ) [1]X 792 5485 M ( ) [1]X 972 5485 M (The schematic level only concentrates on high) [61 50 44 38 39 44 50 44 78 44 28 28 44 38 28 44 51 44 28 38 50 50 28 48 39 44 50 51 44 44 50 28 34 44 28 44 39 38 50 50 38 50 28 49 1]X 2903 5485 M (-) [1]X 2936 5485 M (level analysis and tries to extract a ) [29 44 50 44 28 38 44 50 44 30 48 39 28 39 38 44 50 50 38 28 33 28 44 39 38 29 50 38 44 51 28 33 44 44 28 38 44 1]X 792 5715 M (symbolic description to the processed image. So, it uses the results from the detail lev) [40 48 78 50 50 28 28 44 32 50 44 40 44 33 28 50 28 28 50 50 32 28 50 32 28 50 44 32 50 33 50 45 44 39 39 44 50 32 28 78 45 49 44 26 32 56 50 25 32 28 28 32 50 39 44 39 32 28 50 44 32 33 44 39 50 28 28 39 32 33 33 50 78 32 29 50 44 32 50 44 28 44 28 28 32 28 44 1]X 4319 5715 M (el ) [44 29 1]X showpage %%Page: 27 27 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (27) [50 1]X 792 582 M (as inputs and provides concepts for dealing with higher) [44 39 38 28 50 50 50 28 39 38 44 50 50 38 50 33 50 50 28 50 44 40 38 45 50 50 44 44 50 28 39 38 33 50 34 38 50 44 44 28 28 51 49 38 72 28 28 51 38 50 28 49 50 45 1]X 3108 582 M (-) [1]X 3141 582 M (level interpretation, as well as ) [28 44 51 44 28 38 28 50 28 44 33 50 34 44 28 44 28 29 50 50 25 38 44 39 38 72 44 28 28 39 44 39 1]X 792 812 M (concepts for describing high) [44 50 50 44 44 50 28 39 25 33 50 33 25 50 44 39 44 33 28 50 28 50 49 25 50 28 49 1]X 1924 812 M (-) [1]X 1957 812 M (level behavior to accomplish the goal.) [28 44 50 44 28 25 50 44 50 44 50 28 50 33 25 28 50 25 44 44 44 50 78 50 28 28 39 50 25 28 50 44 25 49 50 44 28 1]X 3476 812 M ( ) [1]X 792 1042 M ( ) [1]X 817 1042 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 1306 M (2.3.2) [67 33 67 33 1]X 1059 1306 M ( ) [1]X 1092 1306 M ( Hierarchical Representation) [33 33 103 37 59 59 67 59 59 74 37 59 67 37 33 96 59 74 59 59 52 59 74 44 67 44 37 67 1]X 2773 1306 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1578 M (Since there is a large representation gap between the initial im) [56 28 50 44 44 27 28 50 44 34 44 27 28 39 28 44 27 28 44 34 50 44 28 33 44 51 33 44 39 44 50 28 44 28 28 50 50 28 50 44 50 27 51 44 28 72 44 44 51 28 28 50 44 27 28 50 28 28 28 44 28 27 28 1]X 3305 1578 M (age data and the high) [45 49 44 27 51 44 28 44 28 44 50 51 27 28 50 44 27 50 29 49 1]X 4164 1578 M (-) [1]X 4197 1578 M (level ) [28 44 51 44 28 1]X 792 1808 M (symbolic descriptions that constitute an interpretation, hierarchical representation tries to ) [40 48 78 50 50 28 28 44 29 51 44 39 44 33 28 50 28 28 50 50 39 29 28 51 44 28 29 44 50 50 39 28 28 28 50 28 44 29 44 51 29 28 50 28 44 33 50 34 44 29 44 28 28 50 50 25 29 50 28 44 33 45 33 44 50 28 45 44 28 29 34 44 50 33 44 40 44 50 28 44 28 28 50 50 29 28 33 28 44 39 29 28 50 1]X 792 2038 M (establish multiple correspondence levels between image features and the knowledge base ) [44 39 28 44 50 28 28 39 50 28 78 50 28 28 28 50 28 44 28 44 50 33 33 44 39 50 50 50 50 44 50 44 44 28 28 44 51 44 28 39 28 50 44 28 72 44 44 51 28 28 78 44 49 44 28 34 44 44 28 50 34 44 39 28 44 50 50 28 28 50 44 28 51 50 50 72 28 44 50 50 44 28 50 44 40 45 1]X 792 2267 M (based on the intermediate representation of an ) [50 44 39 44 50 25 50 50 25 28 50 44 25 28 50 28 44 33 78 44 50 28 44 28 44 25 33 44 50 33 44 39 44 50 28 44 28 28 50 50 25 50 33 25 44 50 1]X 2657 2267 M (interpretation.) [28 50 28 44 33 50 33 44 28 44 28 28 50 50 1]X 3220 2267 M ( ) [1]X 792 2497 M ( ) [1]X 972 2497 M (For a number of reasons, the image interpretation cannot be accomplished by one or ) [55 50 33 29 45 29 50 50 78 50 44 33 29 51 33 29 33 45 44 39 50 50 39 26 29 28 50 44 29 28 78 45 49 44 29 28 50 28 44 33 51 33 44 28 44 28 28 50 50 30 44 44 50 50 50 28 29 50 44 30 44 45 44 50 78 50 28 28 39 50 44 50 29 51 48 29 50 51 44 29 50 34 1]X 792 2727 M (few procedures) [33 44 72 52 50 33 50 45 44 50 50 33 44 1]X 1431 2727 M ( across a wide range of image contents) [52 45 44 33 50 39 39 52 44 52 72 28 50 44 52 33 44 51 49 44 52 50 33 52 28 78 45 49 45 52 44 50 50 28 44 50 28 1]X 3165 2727 M (, but rather performed via a ) [25 52 50 50 28 52 33 44 28 50 44 33 52 50 44 33 33 50 33 78 44 50 52 50 28 44 52 45 1]X 792 2957 M (sequence of partial interpretation of image contents. This is not only beca) [39 44 50 50 44 50 45 44 46 50 33 46 50 45 33 28 28 44 28 46 28 50 28 44 33 50 33 44 28 44 28 28 50 50 46 50 33 46 28 78 45 50 44 46 44 50 51 28 44 50 28 39 25 46 61 50 28 39 46 28 39 46 50 50 28 46 50 50 29 47 47 50 44 44 1]X 3960 2957 M (use of the ) [50 40 44 46 50 33 46 28 50 45 1]X 792 3187 M (complexity of image objects, but also because of analysis goals and the priori knowledge ) [44 50 78 50 28 44 51 28 29 47 28 50 33 28 28 78 45 50 44 28 50 50 29 44 44 28 39 25 28 50 50 28 28 44 28 39 50 28 50 44 45 44 50 39 44 28 50 33 29 44 50 44 30 48 39 28 39 28 49 51 44 28 39 28 44 50 50 28 28 50 44 28 50 33 29 50 33 28 28 50 50 50 72 28 44 51 49 45 1]X 792 3417 M (used in the image analysis. A study of human vision system) [50 39 44 50 44 28 50 44 28 50 44 44 28 78 44 49 44 45 44 50 44 30 49 39 28 39 25 44 72 44 39 28 50 51 47 44 50 33 44 50 50 79 44 50 44 50 28 39 28 50 50 44 40 47 39 28 44 1]X 3371 3417 M ( [Aggarwal and Cai 99]) [44 34 73 50 49 44 34 72 45 28 44 44 50 50 44 67 44 28 44 50 50 1]X 4392 3417 M ( ) [1]X 792 3647 M (shows that human vision is frequently a goal) [39 50 50 72 39 35 28 50 44 28 35 50 50 78 44 50 35 50 28 38 28 50 49 35 28 39 35 33 33 44 50 50 44 50 28 29 47 36 44 35 49 51 44 1]X 2644 3647 M (-) [1]X 2677 3647 M (directed process, we recognize) [50 28 33 45 44 28 44 50 35 50 33 50 44 44 39 39 25 35 72 44 35 34 44 44 51 49 50 29 45 1]X 3934 3647 M ( a complex ) [35 44 35 44 50 78 50 28 44 50 1]X 792 3876 M (object in scenes by anticipating that all component of the object are present, and also their ) [50 50 28 44 44 28 25 28 50 25 39 44 44 50 44 39 25 52 48 26 44 50 28 28 44 29 50 44 28 28 50 49 25 28 50 44 28 26 44 28 28 25 44 50 78 50 50 50 44 50 29 25 50 33 25 28 50 44 25 50 50 28 44 44 28 26 44 33 44 25 51 33 44 39 44 50 28 26 25 44 50 50 25 44 28 39 50 25 28 50 44 28 33 1]X 792 4106 M (relationships are satisfied with what are defined in the priori knowledge. Viewing in this ) [33 44 28 44 28 28 50 50 39 50 28 50 39 30 44 33 44 30 39 44 28 28 39 33 28 45 50 30 72 28 28 50 30 72 50 44 28 30 44 33 44 30 50 44 33 28 50 44 50 30 29 50 30 28 50 44 30 50 33 28 50 33 28 30 50 50 50 72 28 44 50 49 44 25 31 72 28 44 72 28 50 49 30 28 50 30 28 50 28 39 1]X 792 4336 M (manner, we simplify a complex object representation by using) [78 44 50 50 44 33 25 28 73 44 28 39 28 78 50 28 28 34 48 28 44 29 45 50 78 50 28 44 51 28 50 50 28 44 44 28 28 33 44 50 33 44 39 44 50 28 45 28 28 50 50 28 51 48 28 50 39 28 50 1]X 3306 4336 M ( a set of salient component ) [29 44 28 39 44 28 28 50 33 28 40 44 28 28 44 50 28 28 44 50 78 50 50 50 44 50 29 1]X 792 4566 M (objects. This allows us to abstract out significant features of component objects which are ) [50 50 28 44 44 28 39 25 25 61 50 28 39 25 44 28 28 50 72 40 25 50 39 25 28 51 25 44 50 39 28 33 45 44 28 25 50 50 28 25 39 29 49 50 28 33 28 45 44 50 28 25 34 44 44 28 50 33 44 40 25 50 33 26 44 50 78 50 50 50 44 50 28 25 50 50 29 44 44 28 39 25 72 50 28 44 51 25 45 33 45 1]X 792 4796 M (easy to be extracted and the particulars of their relationships, and also encode knowledge ) [44 44 41 48 28 28 50 28 50 44 29 44 51 28 33 44 44 28 44 50 28 44 50 50 29 28 50 44 28 50 44 33 28 28 44 50 28 44 33 39 28 51 33 28 28 50 44 28 33 28 34 45 28 44 28 28 50 50 39 50 28 50 39 25 28 44 50 50 28 44 28 39 50 28 44 50 45 50 50 44 28 50 50 50 72 28 44 51 49 45 1]X 792 5025 M (of objects and detection vision algorithms as) [50 33 53 50 50 28 44 44 28 39 54 44 50 50 53 50 44 28 45 44 28 28 51 50 53 50 28 39 28 50 50 53 44 28 49 51 33 28 28 50 78 39 53 44 1]X 2745 5025 M ( a combination of data structures and ) [54 44 53 44 50 78 50 28 50 44 28 28 50 50 53 50 34 53 50 44 28 44 54 39 28 33 50 44 28 50 33 44 39 54 44 50 50 1]X 792 5255 M (interpretation procedures.) [28 50 28 44 33 50 33 44 28 44 28 28 50 50 25 50 33 50 44 44 50 50 33 44 39 1]X 1817 5255 M ( ) [1]X 792 5485 M ( ) [1]X 972 5485 M (The object) [61 50 44 30 50 50 28 44 44 1]X 1401 5485 M (-) [1]X 1434 5485 M (oriented approach supports such hierarchical representation. As the basic ) [50 33 29 44 50 28 44 50 30 44 50 50 34 50 44 44 50 30 39 50 50 50 50 33 28 39 30 39 50 44 50 30 50 28 44 33 45 33 44 50 28 44 44 28 30 34 44 50 33 44 40 44 50 28 44 28 28 50 50 25 30 72 39 30 28 50 44 30 50 44 39 28 45 1]X 792 5715 M (elements in building the object hierarchy, the selected primitive features are assigned to ) [44 28 44 78 44 50 28 39 33 28 50 33 50 50 28 28 50 28 50 49 33 28 50 44 33 50 50 28 44 44 28 33 50 28 44 33 44 34 44 52 48 25 33 28 50 44 33 39 44 28 45 44 28 44 50 33 50 33 28 78 28 28 28 50 44 33 33 44 44 28 50 33 44 39 33 45 33 44 33 44 39 39 28 49 51 44 50 33 28 50 1]X showpage %%Page: 28 28 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (28) [50 1]X 792 582 M (the lowest lay) [28 50 44 44 28 50 72 44 39 28 44 29 46 1]X 1386 582 M (er of the hierarchy which corresponds to the segmentation level in the ) [44 34 44 50 34 44 28 50 44 45 50 28 44 33 44 34 44 52 48 44 72 50 29 44 50 44 44 51 33 33 44 39 51 50 50 50 39 44 28 50 44 28 50 44 44 40 45 49 78 44 50 28 44 28 28 51 50 44 28 44 50 44 28 44 28 51 44 28 50 45 1]X 792 812 M (image analysis system. The objects to be recognized or the images to be understood are ) [28 78 44 49 45 32 44 51 44 29 48 39 28 39 32 41 48 39 28 44 78 26 33 61 50 44 32 50 50 28 45 44 28 39 32 28 50 32 50 45 32 33 45 44 51 49 51 28 45 44 50 32 50 33 32 28 50 44 32 28 78 45 50 44 39 32 28 50 32 51 44 33 50 50 50 44 33 39 28 50 50 50 32 45 33 44 1]X 792 1042 M (defined in the highest layer which corresponds the understanding level in the analysis ) [50 44 33 28 50 44 50 40 28 50 40 28 50 44 40 50 28 49 51 44 39 28 40 28 45 48 45 34 40 72 50 28 44 50 40 44 51 33 33 44 39 50 50 50 50 39 40 29 50 44 40 50 50 50 44 33 39 28 44 50 50 28 51 49 40 28 44 50 44 28 40 29 50 40 28 50 44 40 44 50 44 30 47 39 28 39 1]X 792 1271 M (system. Bet) [40 48 39 28 44 78 25 50 66 44 1]X 1282 1271 M (ween these two layers are middle layers, where intermediate objects are ) [72 45 44 50 49 28 50 44 39 44 50 28 72 50 49 28 45 48 45 33 39 49 45 33 44 49 78 28 50 50 28 44 49 29 45 48 45 33 39 25 49 72 51 44 33 44 49 28 50 28 45 33 78 44 50 28 45 28 44 49 50 50 28 44 44 28 39 49 44 34 45 1]X 792 1501 M (created. Intermediate objects refer to components of the object or sub) [44 33 45 44 28 44 50 25 47 32 50 28 44 33 78 44 50 29 44 28 44 46 50 51 28 44 44 28 39 46 33 44 33 45 33 46 28 50 46 44 50 78 50 50 50 44 50 28 39 46 50 33 46 28 50 44 46 50 50 28 44 44 28 46 50 33 46 39 50 1]X 3774 1501 M (-) [1]X 3807 1501 M (regions in the ) [33 45 49 28 50 50 39 46 28 50 46 28 50 43 1]X 792 1731 M (image, which are usually generated in the recognition level. This hierarchy also offers a ) [28 78 44 49 44 26 32 72 50 28 44 50 32 45 33 44 32 50 39 51 44 28 29 49 32 50 44 50 44 34 44 28 44 50 32 28 50 32 28 50 44 33 33 44 44 51 49 50 29 28 28 50 50 32 28 44 50 44 28 25 32 61 50 28 39 32 50 28 44 33 44 34 44 51 48 33 44 28 39 50 32 51 33 33 45 33 39 32 45 1]X 792 1961 M (number o) [50 50 78 50 44 33 51 1]X 1198 1961 M (f hierarchical abstractions, which means the combination of several single ) [33 51 50 28 44 34 44 33 44 50 28 45 44 28 52 44 50 39 28 33 44 44 28 28 50 50 39 25 51 72 50 28 44 50 51 78 45 45 50 39 51 28 50 44 51 44 50 78 50 28 50 44 28 28 50 50 51 50 33 51 39 44 50 44 33 44 28 51 39 28 51 49 28 44 1]X 792 2191 M (detailed objects into an abstract one, as well as the scaling down the number of detail ) [50 44 28 44 28 28 44 50 38 50 50 28 44 44 28 39 38 28 50 28 50 38 44 50 39 44 50 39 28 33 44 44 28 38 50 50 44 25 39 44 39 38 72 44 28 28 38 44 39 39 28 50 44 38 39 44 44 28 28 51 49 38 50 50 72 50 38 28 50 44 38 50 51 78 50 44 33 38 50 33 38 50 44 28 44 28 29 1]X 792 2420 M (objects. The image interpretation is performed based on extracted primitives and creates ) [50 50 28 44 44 28 39 25 32 61 50 44 32 28 78 44 50 44 32 28 50 28 44 33 50 33 44 28 44 28 28 50 50 32 28 39 32 50 44 33 33 50 33 78 44 50 32 51 44 39 44 50 32 50 50 32 44 51 28 33 44 44 28 44 50 32 50 33 28 78 28 28 27 50 44 39 32 44 50 50 32 44 33 45 44 28 44 40 1]X 792 2650 M (all ) [44 28 28 1]X 919 2650 M (intermediate objects progressively according to the hierarchical object model, layer by ) [28 50 28 44 33 78 44 50 28 44 28 44 27 50 50 28 44 44 28 39 27 50 33 50 50 33 44 39 39 28 50 44 30 47 28 44 45 44 50 33 50 28 51 49 27 28 50 27 28 50 44 27 50 28 44 33 44 33 44 50 28 45 44 28 27 50 50 28 44 44 28 27 78 50 50 44 28 25 27 28 45 48 45 33 27 51 49 1]X 792 2880 M (layer, until the interested objects are formed or the expected image scene is verified. ) [28 45 48 45 33 25 43 50 50 28 28 28 43 28 50 44 43 28 50 28 44 33 44 39 28 45 50 43 50 50 28 44 44 28 39 43 44 33 44 43 33 50 33 79 44 50 43 50 34 43 28 50 44 43 44 51 50 44 44 28 44 50 43 28 78 44 49 44 43 40 44 45 50 44 43 28 39 43 50 44 33 28 33 28 44 50 25 1]X 792 3110 M (Hence, the hierarchical representation facilitates the image interpretation of h) [72 44 50 44 44 26 58 28 50 45 58 50 28 44 33 45 33 44 50 28 45 44 29 58 33 44 50 34 44 39 44 50 28 44 28 28 50 50 59 33 45 44 28 28 28 28 44 28 44 39 58 28 50 44 58 28 78 45 50 44 58 28 50 28 45 33 50 33 44 28 45 28 28 50 50 58 50 33 58 1]X 4186 3110 M (igher ) [29 49 50 44 34 1]X 792 3340 M (complexity.) [44 50 78 50 28 44 51 28 28 47 1]X 1265 3340 M ( ) [1]X 792 3569 M ( ) [25 1]X 842 3569 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 3833 M (2.3.3 Control Issue) [67 33 67 33 67 33 33 96 67 74 44 59 67 37 33 52 52 52 74 1]X 1891 3833 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 4106 M (Image content understanding can be achieved only as a result of cooperation of complex ) [32 79 45 49 44 30 44 50 50 29 44 50 28 30 50 50 50 44 33 39 28 44 51 50 28 50 49 30 45 44 50 30 50 44 30 45 44 50 28 44 50 44 50 30 50 50 29 48 31 44 39 31 44 30 33 44 39 50 28 28 30 50 33 31 44 50 50 50 44 34 44 28 28 50 50 30 50 33 30 44 50 78 50 28 44 51 1]X 792 4335 M (information processing methods and appropriate control of these methods. The task of the ) [28 50 33 50 33 78 44 28 28 50 50 25 50 33 50 45 44 39 39 28 50 50 26 78 44 28 50 50 50 39 25 44 50 50 25 44 50 51 33 50 50 33 28 44 28 45 26 44 50 50 28 33 50 28 25 50 33 25 28 50 44 40 44 25 78 44 28 50 50 50 39 26 25 61 50 44 25 28 44 39 50 25 51 33 25 28 50 44 1]X 792 4565 M (control strategy is to find the best s) [44 50 50 28 33 50 28 41 39 28 33 44 28 45 51 48 41 28 39 41 28 50 41 33 28 51 50 41 28 50 44 41 50 44 39 28 41 1]X 2307 4565 M (equence of vision procedures to achieve the goal, ) [44 50 50 44 51 44 44 41 51 33 42 50 28 39 28 50 50 41 50 33 50 44 44 50 50 33 44 39 41 28 50 42 44 44 51 28 44 50 44 41 28 50 44 42 49 50 44 28 26 1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 792 4795 M (where \223 best\224 may be defined in terms of accuracy, cost or more often a combination of ) [72 50 44 33 44 32 44 31 50 44 39 28 44 31 78 46 48 31 50 44 31 50 45 33 28 50 44 50 31 28 50 31 28 44 33 78 39 31 50 33 31 44 44 44 51 33 44 45 48 26 31 44 50 39 28 31 50 33 31 78 50 33 44 31 50 33 29 44 50 31 44 31 45 50 78 50 28 50 44 28 28 50 50 31 50 33 1]X 792 5025 M (both. As image information is stored at different representation levels during processing, ) [50 50 28 50 25 30 72 39 30 28 78 44 49 44 30 28 50 33 50 33 79 44 28 28 50 50 30 28 39 30 39 28 50 33 44 50 30 44 28 30 50 28 33 33 44 33 44 50 28 30 34 44 50 33 44 39 44 50 29 44 28 28 50 50 30 28 44 50 44 28 39 30 50 50 33 28 50 49 30 50 33 51 44 44 39 39 28 51 49 26 1]X 792 5255 M (there is one crucial questio) [28 50 44 33 44 48 28 39 48 50 50 45 48 44 33 51 44 28 44 28 48 50 50 45 39 28 28 1]X 1957 5255 M (n related to processing control: should the processing be ) [50 48 33 44 28 44 28 44 50 48 28 50 48 50 33 51 44 44 39 39 29 50 49 49 44 50 50 28 33 50 28 28 48 39 50 50 50 28 50 48 28 50 44 49 50 33 50 44 44 39 39 28 51 49 48 50 45 1]X 792 5484 M (controlled by image data information\( bottom) [44 50 50 28 33 50 28 28 44 50 78 51 48 78 28 78 45 50 44 78 50 44 28 44 78 28 50 33 50 33 78 44 28 28 50 50 33 78 50 50 28 28 50 1]X 2886 5484 M (-) [1]X 2919 5484 M (up control \) or by higher) [50 50 78 44 50 50 28 33 50 28 78 33 78 50 33 78 50 48 79 50 29 49 50 44 1]X 4163 5484 M (-) [1]X 4196 5484 M (level ) [28 44 50 45 29 1]X 792 5714 M (knowledge\( top) [50 50 50 72 28 44 50 50 44 33 59 28 50 1]X 1450 5714 M (-) [1]X 1483 5714 M (down control \). In the top) [50 50 72 50 60 45 50 50 28 33 50 28 59 33 25 60 31 50 59 28 50 44 59 28 50 1]X 2675 5714 M (-) [1]X 2708 5714 M (down control, a set of assumptions is ) [50 51 72 50 59 44 50 50 28 33 50 28 25 59 44 59 39 44 28 59 50 33 59 45 39 39 50 78 50 28 28 50 50 39 59 27 38 1]X showpage %%Page: 29 29 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (29) [50 1]X 792 582 M (constructed from the knowledge base. Duri) [44 50 50 39 28 33 50 44 28 44 50 40 34 33 50 78 40 28 50 44 40 50 51 50 72 28 44 50 50 44 40 50 44 40 44 25 40 72 50 33 1]X 2594 582 M (ng image representation, the satisfaction of ) [51 49 40 29 78 44 50 44 40 33 44 51 33 44 39 44 50 29 44 28 28 50 50 25 40 28 50 45 40 39 44 28 28 39 33 44 44 28 28 50 50 40 50 33 1]X 792 812 M (image features with the pre) [28 78 44 49 45 37 33 45 44 28 50 33 44 39 38 72 28 28 50 37 28 50 44 38 50 33 1]X 1929 812 M (-) [1]X 1962 812 M (defined assumptions is tested at each processing level in a ) [50 45 33 28 50 44 50 38 44 39 39 50 78 50 28 28 50 50 39 37 28 39 37 28 44 39 28 44 50 37 44 28 38 44 44 44 51 37 50 33 50 45 44 40 39 28 50 49 37 28 44 51 44 28 37 28 50 37 44 1]X 792 1042 M (top) [28 50 1]X 920 1042 M (-) [1]X 953 1042 M (down direction, down to the original image data. In such situation, the image ) [50 50 72 50 55 50 28 33 45 44 28 28 50 50 25 55 50 51 72 50 55 28 50 55 28 50 44 55 51 33 28 49 28 51 44 28 55 28 78 45 49 45 55 50 44 28 44 26 56 32 50 55 39 51 44 50 55 39 28 28 50 44 28 29 50 50 25 55 28 50 44 55 28 78 45 49 44 1]X 792 1271 M (understanding is model verification. Perf) [50 50 50 44 33 39 28 44 50 50 28 51 49 55 28 39 55 78 50 50 44 28 55 50 44 33 28 33 28 44 44 28 28 50 50 25 55 56 44 34 1]X 2547 1271 M (orming in a totally different direction, the ) [50 33 78 28 51 49 55 28 50 55 44 55 28 50 28 44 28 30 48 55 50 28 33 34 44 34 44 50 28 55 50 28 33 44 44 28 28 50 50 25 55 28 50 45 1]X 792 1501 M (bottom) [50 50 28 28 50 1]X 1076 1501 M (-) [1]X 1109 1501 M (up processes carry out on raw image data, look for as much structures as possible ) [50 50 27 50 33 50 44 44 39 39 44 39 28 44 45 33 34 48 28 50 50 28 27 50 51 27 33 44 73 27 28 78 45 49 44 27 51 44 28 44 26 27 28 50 50 50 27 33 50 33 28 44 39 27 78 50 44 50 27 39 28 33 51 44 28 50 33 44 39 27 44 39 27 50 50 39 39 28 50 28 45 1]X 792 1731 M (without invoking object) [72 28 28 50 50 50 28 48 28 50 50 50 50 28 50 49 48 50 50 28 44 44 1]X 1793 1731 M (-) [1]X 1826 1731 M (specific knowledge, then match the resulting structures with ) [39 50 44 44 28 33 28 44 48 50 50 50 72 29 44 51 49 44 25 48 28 51 44 50 48 78 44 28 44 50 48 28 50 44 48 33 44 39 50 28 28 28 51 49 49 39 28 33 50 44 28 50 33 44 39 48 72 28 28 50 1]X 792 1961 M (available object knowledge to constru) [44 50 44 28 28 44 50 28 44 30 50 50 28 44 44 28 30 50 50 50 72 28 44 51 49 44 30 28 50 30 44 50 50 39 28 33 1]X 2326 1961 M (ct an intermediate representation and finally derive ) [44 28 30 44 50 30 28 50 28 44 33 78 44 50 28 44 28 44 30 33 44 50 34 44 39 44 50 28 44 28 28 50 50 30 44 50 51 30 33 28 50 44 28 29 47 30 51 44 33 28 50 45 1]X 792 2191 M (the interpretation from intermediate representation. However, efficiency considerations ) [28 50 44 41 28 50 28 44 33 50 33 44 28 44 28 28 50 50 41 33 33 50 78 41 28 50 28 44 33 78 44 50 28 44 28 44 41 33 44 51 33 44 39 44 50 29 44 28 28 50 50 25 41 72 50 72 44 50 44 33 25 41 44 34 33 28 44 28 44 51 46 49 41 44 50 50 39 28 50 44 33 44 28 28 50 50 39 1]X 792 2420 M (plead for the early introduction of top) [50 28 44 44 50 26 33 50 33 26 28 50 44 26 44 45 33 30 47 26 28 50 28 33 50 51 50 44 28 28 50 50 26 50 33 26 28 50 1]X 2302 2420 M (-) [1]X 2335 2420 M (down processes in image understanding. Since first ) [50 50 72 50 26 50 33 50 44 45 39 39 44 39 26 28 50 26 28 78 44 49 44 26 50 50 50 44 33 39 28 44 50 51 28 50 49 25 26 56 28 50 44 44 26 33 28 33 39 29 1]X 792 2650 M (in many situations, larg) [28 50 30 78 44 51 48 31 39 28 28 50 44 28 28 50 50 39 25 30 28 44 34 1]X 1747 2650 M (e areas of the image simply do not have to be looked at. Second, ) [45 30 44 34 44 44 39 30 51 33 30 28 50 45 30 28 78 45 49 44 30 39 28 78 51 29 48 30 50 51 30 50 50 28 30 50 44 51 44 30 28 50 30 51 44 30 28 50 51 50 44 50 30 44 28 25 30 56 45 44 50 50 50 25 1]X 792 2880 M (pure bottom) [50 50 33 44 75 50 50 28 28 50 1]X 1328 2880 M (-) [1]X 1361 2880 M (up processing leads to a combination explosion. Third, contextual ) [50 50 75 50 33 50 44 44 40 39 28 50 49 75 28 44 44 50 39 75 28 50 75 44 75 44 50 78 51 28 50 44 28 28 50 50 75 44 51 50 28 50 38 28 50 50 25 75 61 50 28 32 50 25 75 44 50 50 28 44 51 28 50 44 27 1]X 792 3110 M (knowledge about how objects related to each other provides semantic clues about what ) [50 50 50 72 28 44 50 50 44 35 44 50 50 50 29 35 50 50 72 35 51 50 28 44 44 28 39 35 33 44 28 44 29 44 50 35 28 50 35 45 44 44 50 35 50 29 50 44 33 35 50 33 50 50 28 50 44 40 35 39 44 78 44 50 28 28 44 36 44 29 50 44 39 35 44 50 50 50 28 35 72 51 44 28 1]X 792 3340 M (and where other objects to l) [44 50 50 33 72 50 44 34 44 33 50 28 50 45 33 33 50 50 28 44 44 28 39 34 28 50 33 1]X 1941 3340 M (ook for. Thus an appropriate combination of bottom) [50 50 50 33 33 50 33 25 33 61 50 50 39 33 44 50 34 44 50 51 33 50 50 33 28 44 28 44 34 44 50 78 50 28 50 44 28 28 50 50 33 50 33 34 50 50 28 28 50 1]X 4082 3340 M (-) [1]X 4115 3340 M (up and ) [50 50 33 44 50 50 1]X 792 3569 M (top) [28 50 1]X 920 3569 M (-) [1]X 953 3569 M (down operations can yield a more flexible and powerful vision control strategy for ) [50 50 72 50 37 50 50 44 33 44 28 28 50 50 39 37 44 44 51 38 47 29 44 28 50 37 44 37 78 50 33 44 37 33 28 44 51 28 50 28 44 37 44 50 50 37 50 50 72 44 33 33 50 28 37 50 28 39 28 50 50 37 44 50 50 28 33 50 28 37 39 28 33 44 28 44 51 48 37 33 50 34 1]X 792 3799 M (complex image understanding.) [44 50 78 50 28 44 51 25 28 78 44 49 44 25 50 50 50 44 33 39 28 44 50 50 28 50 49 1]X 2020 3799 M ( ) [1]X 792 4079 M ( ) [1]X 972 4079 M (Corresponding to the hierarchical representation, the control strategies in the l) [67 50 33 33 44 39 50 50 50 50 28 50 50 35 28 50 35 28 50 44 35 50 28 45 33 44 33 44 50 29 44 44 28 35 34 44 50 33 44 40 44 50 28 44 28 28 50 50 25 36 28 50 44 35 44 50 50 28 33 50 28 35 39 28 33 44 28 45 49 29 44 39 35 28 50 36 28 50 44 35 1]X 4193 4079 M (ower ) [50 72 44 33 1]X 792 4309 M (layers aim to detect object primitive features like shape, size, color and texture etc. So the ) [28 45 48 45 33 39 26 44 28 78 26 28 50 26 50 44 28 44 44 28 26 50 50 28 45 44 28 26 50 33 28 78 28 28 28 50 44 26 33 44 44 28 50 33 44 39 26 28 28 50 44 27 39 50 44 50 44 25 26 39 28 45 44 25 26 44 50 28 50 33 26 44 50 50 26 28 44 51 28 50 33 44 26 44 28 44 25 26 56 50 26 28 50 43 1]X 792 4539 M (most important issue of the control strategies is how to appropriately cooperate the top) [78 50 39 28 33 28 78 50 50 33 28 44 50 28 33 28 39 39 50 44 33 50 33 33 28 50 44 33 44 50 50 28 33 50 28 33 39 28 33 44 28 45 49 28 44 39 33 28 39 34 50 50 72 33 28 50 33 44 50 50 33 50 50 33 28 44 28 44 30 48 33 44 51 50 50 44 33 44 28 44 33 28 50 44 33 28 50 1]X 4359 4539 M (-) [1]X 792 4768 M (down or bottom) [50 50 72 50 60 50 33 60 50 50 28 28 50 1]X 1501 4768 M (-) [1]X 1534 4768 M (up operations to extract low) [50 50 60 50 51 44 33 44 28 28 50 50 39 60 28 50 60 44 51 28 33 44 44 28 60 28 50 1]X 2792 4768 M (-) [1]X 2825 4768 M (level features. In thes) [28 44 50 44 28 60 34 44 44 28 50 33 44 39 26 61 32 50 60 28 50 44 1]X 3786 4768 M (e layers, both ) [44 60 28 46 48 44 33 39 26 60 50 50 28 50 1]X 792 4998 M (contextual knowledge, like how objects are related to each other, and image information ) [44 50 50 28 44 51 28 50 44 28 31 50 50 50 72 28 44 50 49 44 25 31 28 28 50 44 31 50 50 72 31 50 50 28 44 44 28 39 31 44 33 44 31 33 44 28 44 29 45 50 31 28 50 31 44 44 44 50 31 50 28 50 44 33 25 31 44 50 50 31 28 78 44 49 44 31 28 50 33 50 33 79 44 28 28 50 50 1]X 792 5228 M (are used. If strong contextual information and weak visual data are available in one ) [44 33 44 46 50 39 44 50 25 48 32 33 46 39 28 33 50 51 49 46 44 50 50 29 44 51 28 50 44 28 46 28 50 33 50 33 78 44 28 28 50 50 46 44 50 50 46 72 44 44 50 46 50 28 39 50 44 28 46 50 44 29 44 46 44 34 44 46 44 51 44 28 28 44 50 28 44 46 28 50 46 50 50 45 1]X 792 5458 M (situation, the top) [39 28 28 50 44 28 28 50 50 25 52 28 50 44 52 28 50 1]X 1516 5458 M (-) [1]X 1549 5458 M (down process can be used to simplify the problem.) [50 50 72 50 52 50 33 50 44 44 39 39 53 44 44 50 52 50 45 52 50 39 44 50 52 29 50 52 39 28 78 50 28 28 34 48 52 28 50 44 52 50 33 50 50 28 44 78 1]X 3796 5458 M ( Otherwise, it ) [52 72 28 50 44 33 72 28 39 44 25 52 28 29 1]X 792 5688 M (appears that the bottom) [44 50 50 44 45 33 39 40 28 50 44 28 40 28 50 44 40 50 50 28 28 50 1]X 1773 5688 M (-) [1]X 1805 5688 M (up processing would have more accurate results. For the high ) [50 50 40 50 33 50 44 44 39 39 28 50 49 40 72 50 50 28 50 40 50 45 50 44 40 78 50 33 44 40 44 44 44 51 33 44 28 44 40 34 44 39 50 28 28 39 25 40 55 50 33 40 28 50 44 40 50 28 49 51 1]X showpage %%Page: 30 30 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (30) [50 1]X 792 582 M (layer such as the object or image layer, its control strategies concern more about how to ) [28 45 48 45 33 31 39 50 44 50 32 44 39 31 28 50 44 31 50 50 28 44 44 28 32 50 33 31 28 78 44 50 44 31 28 46 48 45 33 25 31 28 28 39 31 44 50 50 28 34 50 28 31 39 28 33 44 28 44 49 29 44 39 31 44 50 50 45 44 33 50 31 78 51 33 44 31 44 50 50 50 28 31 50 50 72 31 28 50 1]X 792 812 M (divide a complex structure into a set of component structures whic) [50 28 50 28 50 44 34 44 34 44 50 78 50 28 44 51 34 39 28 33 50 44 28 50 33 44 34 28 50 28 50 34 44 34 39 44 28 34 50 33 34 44 50 78 50 50 50 45 50 28 34 39 28 33 50 44 28 50 33 44 39 34 72 50 28 1]X 3541 812 M (h have easy detected ) [50 34 50 44 50 45 34 44 44 41 47 34 51 44 28 44 44 29 44 50 1]X 792 1042 M (features, and how to arrange the optimal search path to minimize processing time and ) [33 44 44 28 50 34 44 39 25 39 44 50 50 39 50 50 72 39 28 50 39 44 33 34 44 50 50 44 39 28 50 44 39 50 50 28 28 78 44 28 39 39 44 44 33 44 51 39 50 44 28 50 39 28 50 39 78 28 50 27 78 28 45 44 39 50 33 50 44 44 39 39 28 50 49 39 28 28 78 44 39 44 50 50 1]X 792 1271 M (maximize the reliability of detection. ) [78 44 51 28 78 28 45 44 25 28 50 44 25 33 44 28 28 44 50 28 28 28 28 47 25 50 33 25 50 44 28 44 44 28 28 50 50 25 1]X 2295 1271 M ( ) [1]X 792 1501 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 1765 M (2.3.4.) [67 33 67 33 67 1]X 1092 1765 M ( ) [1]X 1242 1765 M (Handling Uncertainty) [103 67 74 74 37 37 74 67 33 96 74 59 59 59 44 67 37 74 44 1]X 2488 1765 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 2037 M (There is a significant amount of inherent ambiguity in image understanding. In order to ) [61 50 44 33 44 33 28 39 34 44 33 39 29 49 50 28 33 28 44 44 50 28 34 44 78 50 50 50 28 33 50 33 33 28 50 50 44 33 44 50 28 34 44 78 50 28 49 50 29 29 48 33 28 50 33 28 78 45 49 45 33 50 50 50 44 33 39 28 44 50 50 28 51 49 25 34 32 51 33 50 33 50 45 33 33 28 51 1]X 792 2267 M (arrive at an unambiguous final result, the knowledge base must include a sufficiently rich ) [44 33 33 28 50 44 27 44 28 27 44 50 27 50 51 44 78 50 28 49 50 50 50 40 27 33 28 50 44 28 27 33 44 39 50 28 28 25 27 28 50 44 27 50 50 50 72 28 44 50 49 44 27 51 44 39 44 27 78 50 39 28 27 28 50 44 28 50 50 44 27 44 27 39 50 33 33 28 44 28 44 50 28 30 47 28 33 28 44 51 1]X 792 2497 M (set of constraints and flexible mechanisms for manipulating uncertain hypotheses until ) [39 44 28 38 50 33 39 44 50 50 39 28 33 44 28 50 28 39 38 44 50 51 38 33 29 44 51 28 50 28 44 38 78 44 44 50 44 50 28 39 78 39 38 33 50 34 39 78 44 50 28 50 50 28 44 28 28 50 49 38 50 51 44 44 33 29 44 28 50 39 51 48 50 50 28 50 44 40 44 39 38 50 50 28 28 27 1]X 792 2727 M (there is a convergence of evidence.) [28 50 44 33 44 25 28 39 25 44 25 44 50 50 50 44 33 49 44 50 44 44 25 50 33 25 44 50 28 50 44 50 44 44 1]X 2191 2727 M ( ) [1]X 792 2957 M ( ) [1]X 972 2957 M (The matching processes responsible for ge) [61 50 44 34 78 44 28 44 50 28 51 49 34 50 33 50 45 44 39 39 44 39 35 33 44 39 50 50 50 39 28 50 28 44 34 33 50 33 35 49 1]X 2718 2957 M (nerating correspondences between image ) [51 44 33 44 28 28 51 49 34 44 51 33 33 44 39 50 50 50 51 44 50 44 44 39 34 51 44 28 72 45 44 50 34 28 78 44 50 44 1]X 792 3186 M (objects and model objects will inevitably make errors and may generate multiple ) [50 50 28 44 44 28 39 59 44 50 50 59 78 50 50 44 28 59 50 50 27 44 44 28 39 59 72 28 28 28 59 28 50 44 50 28 28 44 50 29 47 59 78 45 50 44 59 44 33 33 50 33 39 59 44 50 50 59 78 46 48 60 49 44 51 44 33 44 28 44 59 78 50 28 28 28 50 28 45 1]X 792 3416 M (competing hypotheses to describe the expected model object. These result in uncertainty ) [44 50 78 50 44 28 28 50 49 31 52 48 50 50 28 50 44 39 44 39 31 28 51 31 50 44 39 44 33 28 50 44 31 28 50 44 31 44 51 50 44 44 28 44 50 31 78 50 50 44 28 31 50 50 28 44 44 28 25 31 61 50 44 39 44 31 33 44 39 50 28 29 31 28 50 31 50 50 44 44 33 28 44 28 50 29 48 1]X 792 3646 M (at all levels of representation. ) [44 28 45 44 28 28 45 28 44 50 44 28 39 45 50 33 45 34 44 50 33 44 40 44 51 28 44 28 28 50 50 25 1]X 2098 3646 M (Generally speaki) [72 44 50 44 34 44 28 29 48 45 39 50 45 44 50 1]X 2793 3646 M (ng, there are two kinds of ambiguity: ) [50 49 25 45 28 50 44 34 44 45 45 33 44 45 28 72 50 45 50 28 50 50 40 45 50 33 45 44 78 50 28 49 50 28 30 48 27 1]X 792 3876 M (imprecision and uncertainty. The imprecision comes from the fuzzy aspect of image ) [28 78 50 33 44 44 28 39 28 50 50 46 44 50 50 46 50 51 44 44 33 28 45 28 50 29 48 25 46 61 50 45 46 28 78 50 33 44 44 28 39 28 50 50 47 45 50 78 44 39 46 33 33 50 78 46 28 50 45 46 33 50 45 46 48 46 44 40 50 44 44 28 46 50 34 46 28 78 44 50 45 1]X 792 4106 M (objects, since it is difficult to locate an image object perfectly accurate. The uncertainty ) [50 50 28 44 44 28 39 25 33 39 28 50 44 44 33 28 28 33 28 38 33 50 28 33 33 28 44 50 28 28 33 28 50 32 28 50 44 44 28 44 33 44 50 33 28 78 44 49 44 33 51 50 28 44 44 28 33 50 44 33 33 45 44 28 29 48 33 45 44 44 50 34 44 28 44 25 34 61 50 44 33 50 50 44 44 33 28 44 28 50 30 48 1]X 792 4336 M (comes from doubts about the object position) [44 50 78 44 39 35 33 33 50 78 35 50 50 50 50 28 39 36 44 50 50 51 28 35 28 50 44 35 50 50 28 44 44 28 35 50 50 39 28 28 28 50 1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 2631 4336 M (, for example, it \223may be\224 here or it \223may ) [25 35 33 50 34 35 44 51 44 78 50 28 44 25 35 28 28 35 44 78 46 48 35 50 45 44 35 51 44 33 44 35 51 33 35 28 28 35 44 78 46 49 1]X 792 4566 M (be\224 there. To deal with uncertainty, the following three issues must be taken into ) [50 44 44 50 28 50 44 33 44 25 50 50 61 50 50 50 44 44 28 50 72 28 28 50 50 50 50 44 44 33 28 44 28 50 30 48 25 50 28 50 44 50 33 50 28 28 50 72 28 50 49 50 28 50 33 45 44 50 28 39 39 50 44 39 50 78 50 39 27 50 50 44 50 28 44 50 44 50 50 28 50 28 50 1]X 792 4796 M (account:) [44 44 44 50 50 50 28 1]X 1130 4796 M ( ) [1]X 973 5026 M (1\)) [50 1]X 1056 5026 M ( ) [1]X 1123 5026 M (How to represent uncertain data) [72 50 72 25 28 50 25 33 44 50 33 44 39 44 50 28 25 50 50 44 44 33 28 44 28 50 25 50 44 28 1]X 2397 5026 M ( ) [1]X 973 5256 M (2\)) [50 1]X 1056 5256 M ( ) [1]X 1123 5256 M (How to combine two or more pieces of uncertain data) [72 50 72 25 28 50 25 44 50 78 50 28 50 44 25 28 72 50 25 50 33 25 78 50 33 44 25 50 28 44 44 44 39 25 50 33 25 50 50 44 44 33 28 44 28 50 25 50 44 28 1]X 3271 5256 M ( ) [1]X 973 5486 M (3\)) [50 1]X 1056 5486 M ( ) [1]X 1123 5486 M (How to draw inference using uncertai) [72 50 72 25 28 50 25 50 33 44 72 25 28 50 33 44 33 44 50 44 44 25 50 39 28 50 49 25 50 50 44 44 33 28 44 1]X 2626 5486 M (n data) [50 25 50 44 28 1]X 2867 5486 M ( ) [1]X showpage %%Page: 31 31 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (31) [50 1]X 792 582 M (These issues involved are often very subtle, but they can have significant impact on the ) [61 50 44 39 44 33 28 39 39 50 44 39 33 28 50 50 50 28 50 44 50 33 44 34 44 33 50 33 28 44 50 33 50 44 35 48 33 39 50 50 28 28 44 25 33 50 50 28 33 28 50 45 48 34 44 44 50 33 50 44 51 44 33 39 28 49 50 28 33 28 45 44 50 29 33 28 78 50 44 44 28 33 50 50 33 28 50 43 1]X 792 812 M (operation of any conclusions drawn by a system.) [50 50 44 33 44 28 28 50 50 25 50 33 25 44 50 47 25 44 50 50 44 28 50 39 28 50 50 39 25 50 33 44 72 50 25 50 47 25 44 25 39 47 39 28 44 78 1]X 2730 812 M ( ) [1]X 792 1042 M ( ) [1]X 972 1042 M (In this research, fuzzy logic is introduced to handle uncertainty, The theory of fuzzy ) [32 51 29 28 50 28 39 29 33 44 40 44 44 34 44 50 25 29 33 50 45 46 48 29 28 51 49 28 45 29 28 39 29 28 50 28 33 50 50 50 44 44 51 29 28 50 29 50 44 50 51 28 44 29 50 50 44 45 33 28 44 28 50 29 48 26 29 61 50 45 29 28 50 44 50 34 48 30 51 33 29 33 50 45 47 49 1]X 792 1272 M (sets proposed by Zadeh [) [39 44 28 39 38 50 33 50 50 50 39 44 50 38 51 47 39 61 44 50 44 50 39 1]X 1843 1272 M (Zadeh 65] allows an efficient manipulation of ambiguities by ) [60 44 50 44 50 38 50 50 34 38 44 28 28 50 72 39 38 44 50 38 44 33 33 28 44 28 44 50 28 38 78 44 50 28 50 50 28 44 28 28 50 50 38 50 33 37 44 78 50 28 49 50 28 28 28 44 39 38 51 49 1]X 792 1502 M (using linguistic variables to describe vague concepts like existence of an object, and ) [50 39 28 50 49 45 28 28 50 49 50 28 39 28 28 44 45 50 44 33 28 44 50 29 45 39 45 28 50 45 50 44 39 44 33 28 50 44 45 50 45 49 50 44 45 44 50 51 44 44 50 28 39 45 28 28 50 44 45 44 51 28 39 28 44 50 44 44 45 50 33 45 44 50 45 50 50 28 44 44 28 25 45 44 50 50 1]X 792 1732 M (fuzzy reasoning is well suited to express an priori knowledge as a set of fuzzy rules ) [33 50 45 46 47 43 33 45 44 39 50 50 28 51 49 43 28 39 43 72 44 28 28 42 39 50 28 28 44 50 43 28 50 43 43 51 50 33 44 39 39 43 44 50 43 50 33 28 50 33 28 43 50 50 50 72 28 44 50 50 44 43 44 39 43 44 43 39 44 28 43 50 33 43 33 50 45 46 47 43 33 50 28 44 40 1]X 792 1962 M (which determine the fu) [72 50 28 44 50 39 50 44 28 44 33 78 28 50 45 39 28 50 44 39 33 1]X 1758 1962 M (ture situation on the basis of present observations. Our method ) [29 50 33 44 39 39 28 28 50 44 28 28 50 50 39 50 50 39 28 50 44 39 51 44 39 28 39 39 50 33 39 50 33 44 40 44 50 28 39 50 50 39 44 33 51 44 28 28 50 50 39 25 39 72 50 33 39 78 44 28 50 50 51 1]X 792 2192 M (transfers a real world attribute value into linguistic variables and uses fuzzy membership ) [28 33 44 50 39 33 44 33 39 30 44 30 34 44 44 28 30 72 50 33 28 50 30 44 28 29 33 28 50 50 28 44 30 50 44 28 50 44 30 28 50 28 50 30 28 28 50 49 50 28 39 28 27 44 30 50 44 33 28 44 50 28 44 39 30 44 50 50 30 50 39 44 39 30 33 50 45 45 48 31 78 44 78 50 44 33 39 50 28 51 1]X 792 2422 M (functions characterize the possible degree of membership that the attribute value belongs ) [33 50 50 44 28 28 50 50 39 29 44 50 44 34 44 44 28 44 33 28 45 44 29 28 51 44 29 50 50 39 39 28 50 28 44 29 50 44 50 33 44 44 29 51 33 29 78 45 78 50 44 33 39 50 28 50 29 28 50 44 28 29 28 50 44 29 44 28 28 33 28 50 50 28 44 29 50 44 28 50 44 29 50 44 28 50 51 49 39 1]X 792 2652 M (to the ling) [28 50 53 28 50 44 53 28 28 50 1]X 1253 2652 M (uistic variables. The advantage of this fuzzification is that it provides a ) [50 28 39 28 28 44 53 50 44 33 28 44 50 28 44 39 25 53 61 50 44 53 44 50 50 44 50 28 45 50 44 53 50 33 53 29 50 28 39 53 33 50 45 44 28 33 28 44 44 28 28 50 50 53 28 39 53 28 50 44 27 53 28 28 53 50 33 50 50 28 50 44 39 53 44 1]X 792 2882 M (reasonable way to represent the imprecision of object features. Then fuzzy reasoning ) [33 44 44 39 50 50 44 50 29 44 44 72 46 48 44 28 50 44 33 44 50 34 45 39 44 50 28 44 28 50 44 44 28 78 50 33 44 44 28 39 28 50 50 44 50 33 44 50 50 28 44 44 28 44 33 44 44 28 50 34 44 39 25 44 61 50 44 50 44 33 51 45 46 47 44 33 45 44 39 50 50 28 50 50 1]X 792 3112 M (rules are applied to recognize the object by integrating the priori knowledge with their ) [33 50 28 44 39 37 44 33 44 38 44 50 50 28 28 44 50 37 28 50 37 33 44 44 51 49 50 28 45 44 37 28 50 44 37 50 50 28 44 44 28 37 52 47 37 28 50 28 45 49 34 44 28 28 50 49 37 28 50 44 37 50 33 28 51 33 28 37 50 50 50 72 28 44 50 50 44 37 72 28 28 50 37 28 50 44 28 34 1]X 792 3342 M (fuzzif) [33 50 45 45 28 1]X 1026 3342 M (ied attributes. Finally, a confident level is assigned to each object candidate based ) [28 44 50 33 44 28 28 33 28 50 50 28 44 39 25 33 55 28 50 44 28 29 48 25 33 44 33 44 50 51 33 28 50 44 50 28 33 28 44 50 44 28 33 28 39 33 45 39 39 28 49 50 44 50 33 28 50 33 45 44 44 50 33 50 50 28 44 44 28 34 45 44 50 50 28 50 44 28 44 33 50 44 39 44 51 1]X 792 3572 M (on how it satisfies the knowledge base and subjects to any relevant constraints or ) [50 50 53 50 50 72 53 28 28 53 39 44 28 27 39 33 28 44 39 53 28 50 44 53 50 50 50 72 28 44 50 49 44 53 50 44 40 44 53 44 50 50 53 39 50 50 28 44 44 28 39 53 28 50 53 44 51 47 54 33 44 28 44 51 44 50 28 53 44 50 50 39 28 33 44 28 50 28 39 53 50 33 1]X 792 3802 M (relationships. Only the high confident candidates are selected as the final solution.) [33 44 28 44 28 28 50 50 39 50 28 50 39 25 25 72 50 28 47 25 28 50 44 25 50 28 49 50 25 44 50 50 33 28 50 44 50 28 25 44 44 50 50 28 50 44 28 44 39 25 44 33 44 25 39 44 28 44 44 28 44 50 25 44 39 25 28 50 44 25 33 28 50 44 28 25 39 50 28 50 28 28 50 50 1]X 4075 3802 M ( ) [1]X 792 4032 M ( ) [1]X showpage %%Page: 32 32 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (32) [50 1]X 792 582 M ( ) [1]X [150 0 0 -150 0 0]/Times-Bold MF 792 746 M (2.4) [75 38 1]X 980 746 M ( ) [1]X 1092 746 M (Basic Concepts of the Object) [100 75 58 42 67 54 108 75 83 67 67 83 50 58 54 75 50 54 50 83 66 54 117 83 50 66 67 1]X 2998 746 M (-) [1]X 3047 746 M (Oriented Knowledge ) [117 67 42 67 83 50 67 82 54 117 83 74 109 42 67 83 75 66 1]X 1092 1091 M (Model) [142 75 83 67 1]X 1501 1091 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1436 M (The performance of an image understanding system depends heavily on the design of the ) [61 50 44 28 50 44 33 33 51 33 78 44 50 45 44 28 50 33 28 44 50 28 29 78 44 50 44 28 50 50 50 44 33 39 28 44 50 50 28 51 49 28 41 48 39 29 44 78 28 50 44 50 44 50 50 39 28 50 44 44 50 28 30 48 28 50 50 28 28 50 44 28 50 44 39 28 49 50 28 51 33 28 28 50 44 1]X 792 1666 M (knowledge model structure. Thus to design a model which provides enough capability for ) [50 50 50 72 28 44 50 50 44 26 78 50 50 44 28 26 39 28 33 50 44 28 50 33 44 25 26 61 50 50 39 26 28 50 26 50 44 39 28 49 50 26 44 26 78 50 51 44 28 26 72 50 28 44 50 26 50 33 50 50 28 50 44 39 26 44 50 50 51 50 50 26 44 44 50 44 50 28 28 28 29 48 26 33 50 34 1]X 792 1896 M (the general application, th) [28 50 44 30 50 44 50 44 34 44 28 30 44 50 50 28 28 45 44 28 28 50 50 25 30 28 1]X 1846 1896 M (e model has to address and solve the following issues [) [44 30 78 50 50 44 28 30 50 44 39 30 28 50 31 44 50 50 33 44 39 39 31 44 50 50 30 39 50 28 50 44 30 28 50 44 31 33 50 28 28 50 72 28 50 49 30 29 39 39 50 44 39 30 1]X 4092 1896 M (Crevier ) [67 33 44 50 28 44 34 1]X 792 2126 M (97) [50 1]X 892 2126 M (]:) [34 1]X 954 2126 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 2364 M (\267) [1]X 838 2364 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 942 2364 M (Adapting to variations among the knowledge model and instances) [72 50 44 50 28 28 50 49 25 28 50 25 50 44 33 28 44 28 28 50 50 39 25 44 78 50 50 49 25 28 50 44 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 25 44 50 50 25 28 50 39 28 44 50 44 44 1]X 3575 2364 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 2601 M (\267) [1]X 838 2601 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 942 2601 M (Planning processing operations, such as breaking down the main goal into sub) [56 28 44 50 50 28 50 49 25 50 33 50 44 44 39 39 28 50 49 25 50 50 44 33 44 28 28 50 50 39 25 25 39 50 44 50 25 44 39 25 50 33 44 44 50 28 50 49 25 50 50 72 50 25 28 50 44 25 78 44 28 50 25 49 50 44 28 25 28 50 28 50 25 39 50 1]X 4063 2601 M (-) [1]X 4096 2601 M (goals ) [49 50 44 28 39 1]X 942 2830 M (and further dividing the sub) [44 50 50 25 33 50 33 28 50 44 33 25 50 28 50 28 50 28 50 49 25 28 50 44 25 39 50 1]X 2051 2830 M (-) [1]X 2084 2830 M (goals into pr) [49 50 44 28 39 25 28 50 28 50 25 50 1]X 2583 2830 M (ocessing steps) [50 44 44 39 39 28 50 49 25 39 28 44 50 1]X 3151 2830 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 3068 M (\267) [1]X 838 3068 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 942 3068 M (Controlling the processing flow during the analysis, for instance bottom) [67 50 50 28 33 50 28 28 28 50 49 25 28 50 44 25 50 33 50 44 44 39 39 28 50 49 25 33 28 50 72 25 50 50 33 28 50 49 25 28 50 44 25 44 50 44 28 47 39 28 39 25 25 33 50 33 25 28 50 39 28 44 50 44 44 25 50 50 28 28 50 1]X 3812 3068 M (-) [1]X 3845 3068 M (up or top) [50 50 25 50 33 25 28 50 1]X 4206 3068 M (-) [1]X 942 3297 M (down processing, distributed or centralized control) [50 50 72 50 25 50 33 50 44 44 39 39 28 50 49 25 25 50 28 39 28 33 28 50 50 28 44 50 25 50 33 25 44 44 50 28 33 44 28 28 45 44 50 25 44 50 50 28 33 50 1]X 2972 3297 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 3535 M (\267) [1]X 838 3535 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 942 3535 M (Representing and using knowledge into image processing ) [67 44 50 33 44 39 44 50 28 28 50 49 25 44 50 50 25 50 39 28 50 49 25 50 50 50 72 28 44 50 49 44 25 28 50 28 50 25 28 78 44 49 44 25 50 33 50 44 44 39 39 28 50 49 1]X 3265 3535 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 3772 M (\267) [1]X 838 3772 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 942 3772 M (Implementing evaluation mechanisms for image proce) [31 78 50 28 44 78 44 50 28 28 50 49 25 44 50 44 28 50 44 28 28 50 50 25 78 44 44 50 44 50 28 39 78 39 25 33 50 33 25 28 78 44 49 44 25 50 33 50 44 1]X 3115 3772 M (ssing quality) [39 39 28 50 49 25 50 50 44 28 28 28 1]X 3620 3772 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 792 4009 M (\267) [1]X 838 4009 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 942 4009 M (Recognizing objects by matching them with models and resolving conflicts between ) [67 44 44 50 49 50 28 45 28 50 49 25 50 50 28 44 44 28 39 25 50 47 25 78 44 28 44 50 28 50 49 25 28 50 44 78 25 72 28 28 50 25 78 50 50 44 28 39 25 44 50 50 25 33 44 39 50 28 50 28 50 49 25 44 50 50 33 28 28 44 28 39 25 50 44 28 72 44 44 50 1]X 942 4238 M (contradictory hypothesis) [44 50 50 28 33 44 50 28 44 28 50 33 47 25 50 47 50 50 28 50 44 39 28 1]X 1921 4238 M ( ) [1]X 942 4518 M (As mentioned before, the object) [72 39 37 78 44 50 28 28 50 50 44 50 37 50 44 33 50 33 44 25 37 28 51 44 37 50 50 28 44 44 1]X 2269 4518 M (-) [1]X 2302 4518 M (oriented knowledge representation provides a tight ) [50 33 28 44 50 29 44 50 37 50 50 50 72 28 45 50 49 44 38 33 44 50 34 44 39 44 50 28 44 28 28 50 50 37 50 33 50 50 29 50 44 39 37 44 37 28 28 49 50 28 1]X 792 4748 M (relationship between the data and the actions, which ) [33 44 28 44 28 28 50 50 39 50 28 50 27 50 44 28 72 44 44 50 27 28 50 44 28 50 44 28 44 27 44 50 50 27 28 50 44 27 44 44 28 28 50 50 39 25 27 72 50 28 44 50 1]X 2919 4748 M (actually corresponds more closely to ) [44 44 28 50 44 28 30 47 28 44 50 33 34 44 39 50 50 50 50 39 27 78 50 33 44 27 44 28 50 39 44 29 48 27 28 51 1]X 792 4978 M (our view of object within the real world and provides a much firmer basis for image ) [50 50 33 41 50 28 44 72 41 50 34 41 50 50 28 44 44 28 41 72 28 28 51 28 50 41 28 50 44 41 33 44 44 28 42 72 50 33 28 50 41 44 50 50 41 51 34 50 50 28 50 44 39 41 44 41 78 50 44 50 42 33 28 33 78 44 33 41 51 44 39 28 39 41 33 50 33 41 28 78 45 49 45 1]X 792 5208 M (processing program development. Also its pleasing properties, such as abstraction, ) [50 33 50 44 44 39 39 28 51 49 58 50 33 51 49 34 44 78 58 50 45 50 44 28 50 50 78 44 50 28 25 58 72 28 39 50 58 28 28 39 58 50 27 44 44 39 28 50 49 58 51 33 50 50 44 33 28 28 44 39 25 58 39 50 44 51 58 44 39 58 44 50 39 28 33 44 44 28 28 50 50 25 1]X 792 5438 M (encapsulation or information hiding, and hierarchy c) [44 50 44 44 50 39 50 28 44 28 28 50 50 28 50 34 28 28 50 33 50 33 78 45 28 28 50 50 28 50 28 50 28 50 49 25 28 44 50 51 28 50 28 44 33 45 33 44 51 48 29 1]X 2913 5438 M (an simplify the view of the problem, ) [44 50 28 39 28 78 50 28 28 35 48 28 28 50 45 28 50 28 44 72 29 50 33 28 28 50 44 28 50 33 50 50 29 44 78 26 1]X 792 5668 M (optimize the processing procedures, and minimize the processing time. Thus the object) [50 50 28 28 78 28 45 44 25 28 50 44 25 50 33 50 44 44 39 39 28 50 49 25 50 33 50 44 44 50 50 33 44 39 25 25 44 50 50 25 78 28 50 28 78 28 45 44 25 28 50 44 25 50 33 50 44 44 39 39 28 50 49 25 28 28 78 44 25 25 61 50 50 39 25 28 50 44 25 50 50 28 44 44 1]X 4268 5668 M (-) [1]X 4301 5668 M ( ) [1]X showpage %%Page: 33 33 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (33) [50 1]X 792 582 M (oriented class structure is especially suitable for the image analysis knowledge model. ) [50 33 28 44 50 28 44 50 25 44 28 44 39 39 25 39 28 33 50 44 28 50 33 44 25 28 39 25 44 39 50 44 44 28 44 28 28 47 25 39 50 28 28 44 50 28 44 25 33 50 33 25 28 50 44 25 28 78 44 49 44 25 44 50 44 28 47 39 28 39 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 25 1]X 4248 582 M ( ) [1]X 942 862 M (In this section, we will address how to des) [32 50 43 28 50 28 39 43 39 44 44 28 28 50 50 25 43 72 44 43 72 28 28 28 44 44 50 50 33 44 39 39 43 50 50 72 43 28 50 43 50 44 1]X 2776 862 M (ign this object) [29 49 50 43 28 50 28 39 43 50 50 28 44 44 1]X 3379 862 M (-) [1]X 3412 862 M (oriented image analysis ) [50 33 28 44 50 28 44 50 43 28 78 45 50 44 43 44 50 44 30 48 39 28 39 1]X 792 1092 M (knowledge model to satisfy the above concerns. The whole definition of the model is ) [50 50 50 72 28 44 50 50 44 40 78 50 50 44 28 40 28 50 40 39 44 29 28 39 34 48 40 28 50 44 41 44 50 50 50 44 40 44 50 51 44 45 33 50 39 25 40 61 50 44 40 72 50 50 28 44 40 50 45 33 28 50 28 28 28 50 50 40 50 33 40 28 50 44 40 78 50 50 44 28 40 28 39 1]X 792 1322 M (divided into two parts: model attributes and model methods. We start with the conceptual ) [50 28 50 28 50 44 50 27 28 50 28 50 27 28 72 50 27 50 44 33 28 39 28 27 77 50 50 44 28 27 44 28 28 33 28 50 50 28 44 39 27 44 50 50 27 78 50 50 44 28 27 78 44 28 50 50 50 39 25 27 95 44 27 39 28 44 33 28 27 72 28 28 50 26 27 50 44 27 44 50 50 44 44 50 28 51 44 28 1]X 792 1552 M (level notion of model class which introduce) [28 44 50 44 28 74 50 50 28 28 50 50 74 50 33 74 78 50 50 44 27 74 44 28 44 39 39 74 72 50 28 44 50 74 28 50 28 33 50 50 50 44 1]X 2833 1552 M (s three attribute parts: description, ) [39 74 28 50 33 44 44 74 44 28 28 33 28 50 50 28 44 74 50 44 33 29 39 28 74 50 44 39 44 33 28 50 28 28 50 50 25 1]X 792 1782 M (composition and semantic graph. Then we explicate the model methods which serve as ) [44 50 78 50 50 39 28 28 28 50 50 35 44 50 50 35 39 44 78 44 50 28 28 44 35 50 33 44 50 50 25 35 61 51 44 50 35 72 44 36 44 51 50 28 28 44 44 28 44 35 28 50 44 35 78 50 50 44 28 35 78 44 28 50 50 50 39 36 72 50 28 44 50 35 39 44 33 50 44 36 44 39 1]X 792 2012 M (realization mechanisms to link image data with the knowledge model.) [33 44 44 28 28 45 44 28 28 50 50 25 78 44 44 50 44 50 28 39 78 39 25 28 50 25 28 28 50 50 25 28 78 44 49 44 25 50 44 28 44 25 72 28 28 50 25 28 50 44 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 1]X 3588 2012 M ( ) [1]X 942 2242 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 2506 M (2.4.1) [67 33 67 33 1]X 1059 2506 M ( ) [1]X 1092 2506 M (Model Attributes) [126 67 74 59 37 33 96 44 44 59 37 74 74 44 59 1]X 2071 2506 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 2828 M (An important requirement in designing a generic k) [72 50 38 28 78 50 50 33 28 44 50 28 38 33 44 50 50 28 33 44 78 45 50 28 38 28 50 38 50 44 39 28 49 50 28 50 49 38 44 38 50 44 50 44 33 29 44 38 1]X 2905 2828 M (nowledge model is the capability to ) [50 50 72 28 44 50 50 44 38 78 50 50 44 28 38 28 39 38 27 50 44 38 44 44 50 44 50 28 28 28 29 48 38 28 50 1]X 792 3058 M (describe variations between a generic model and individual instances. We view this ) [50 44 39 44 33 28 50 45 48 50 44 33 28 44 28 28 50 50 39 48 51 44 28 73 44 44 50 49 44 49 49 44 51 44 33 28 44 48 78 50 51 44 28 48 44 51 50 48 28 50 50 28 50 28 50 50 44 28 48 28 50 39 28 44 50 44 44 39 25 49 95 44 48 50 28 44 72 48 28 50 28 39 1]X 792 3288 M (adaptation at two levels: one level is to adapt the generic model to a specific category ) [44 50 44 50 28 44 28 28 50 50 37 44 28 37 28 72 50 37 28 44 51 44 28 39 28 37 50 50 44 37 28 44 50 44 28 37 28 39 37 28 50 37 44 51 44 50 28 37 28 50 44 38 49 44 50 45 33 28 44 37 78 50 50 44 28 37 28 50 37 44 37 39 51 44 44 28 33 28 44 38 44 44 28 45 49 50 36 49 1]X 792 3518 M (model, the other level is to adapt a specific ca) [78 50 50 44 28 25 30 28 50 44 30 50 28 50 44 33 30 28 44 50 44 28 30 28 39 31 28 50 30 44 50 44 50 28 30 44 30 39 50 45 44 28 33 28 44 30 45 1]X 2664 3518 M (tegory model to an individual instance. To ) [28 45 50 50 34 48 30 78 50 51 44 28 30 28 50 30 44 50 30 28 50 50 28 50 28 50 50 44 28 30 28 50 39 28 44 50 44 44 25 30 61 51 1]X 792 3748 M (accomplish these, the designed generic model class abstracts common features from ) [44 44 44 50 78 50 28 28 39 50 49 28 50 44 39 44 25 49 28 50 44 49 50 44 39 28 49 50 44 50 50 50 44 50 44 33 28 44 49 78 50 50 44 28 50 44 28 44 39 39 49 44 50 39 28 33 44 44 28 39 49 44 50 78 78 50 51 49 33 44 44 28 50 33 44 39 49 34 33 50 78 1]X 792 3978 M (images into three attribute parts: the description part, the composition part and the ) [28 78 44 49 44 39 52 28 50 28 50 52 28 50 33 44 44 52 44 28 28 33 28 51 50 28 44 52 50 44 33 28 39 28 52 28 50 44 52 50 44 39 44 33 28 50 28 28 50 50 52 50 44 33 28 25 52 28 50 44 52 44 50 78 50 50 39 28 28 28 50 49 52 50 44 33 28 52 44 50 50 52 28 50 44 1]X 792 4208 M (semantic part, as shown in Fig 2) [39 44 78 44 50 28 28 44 25 50 44 33 28 25 25 44 39 25 39 50 50 72 50 25 28 50 25 55 28 49 25 1]X 2081 4208 M (-) [1]X 2114 4208 M (2.) [50 1]X 2189 4208 M ( ) [1]X [117 0 0 -117 0 0]/Times-Roman MF 792 4454 M ( ) [1]X [117 0 0 -117 0 0]/Times-Bold MF 792 4724 M (The Desc) [78 65 52 29 84 52 46 1]X 1250 4724 M (ription Attribute) [52 33 65 39 33 59 65 29 84 39 39 52 33 65 65 39 1]X [100 0 0 -100 0 0]/Times-Bold MF 2093 4724 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 5025 M (The description attributes represent the difference between a model and its instances by ) [61 50 44 33 50 44 40 44 33 28 50 28 28 50 50 33 44 28 28 33 28 50 50 28 45 39 33 33 44 50 34 44 39 44 50 28 33 28 50 45 33 50 28 33 34 44 33 44 51 45 44 33 50 44 28 73 44 44 50 34 44 33 78 50 50 44 29 33 44 50 51 33 28 28 39 33 28 50 39 28 44 50 44 44 39 33 52 49 1]X 792 5255 M (using a set of features, such as size, shape, color, texture, position and orientation. For ) [50 39 28 50 49 36 44 36 40 44 28 36 50 33 37 33 44 44 28 50 34 44 39 25 36 40 50 44 50 36 44 39 36 39 28 45 44 25 36 39 50 44 50 44 26 36 44 50 28 50 34 25 36 28 44 51 28 50 33 44 25 36 50 50 39 28 28 28 50 50 36 44 50 50 36 50 33 28 44 50 28 44 28 28 50 50 25 36 55 50 34 1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 792 5485 M (each attribute, the upper and lower \223deformability\224 limit) [44 44 44 50 48 44 28 28 33 28 50 50 28 44 25 47 28 50 44 47 50 50 50 45 33 47 44 50 50 47 28 50 72 45 33 47 44 50 45 33 50 33 78 44 50 29 28 28 29 48 44 47 28 28 78 28 1]X 3207 5485 M (s are defined to specify the ) [39 47 44 33 44 47 50 45 33 28 50 44 50 48 28 50 47 39 50 44 44 28 35 48 47 28 50 45 1]X 792 5715 M (possible range of values under natural deformation.) [50 50 39 39 28 50 28 44 25 33 44 50 49 44 25 50 33 25 50 44 28 50 44 39 25 50 50 50 44 33 25 50 44 28 50 33 44 28 25 50 44 33 50 33 78 44 28 28 50 50 1]X 2845 5715 M ( ) [1]X showpage %%Page: 34 34 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (34) [50 1]X 792 582 M ( ) [1]X 792 812 M ( ) [1]X 942 1042 M ( ) [1]X 942 1272 M ( ) [1]X 942 1502 M ( ) [1]X 942 1732 M ( ) [1]X 942 1962 M ( ) [1]X 942 2192 M ( ) [1]X 942 2422 M ( ) [1]X 942 2652 M ( ) [1]X 942 2882 M ( ) [1]X [117 0 0 -117 0 0]/Times-Bold MF 792 3130 M ( ) [1]X 792 3414 M (The Composition Attribute) [78 65 52 29 84 59 96 65 59 46 33 39 33 59 65 29 84 39 39 52 33 65 65 39 1]X 2151 3414 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 3715 M (The hierarchical building of an object model is the crucial point of the image ) [61 50 44 65 50 28 44 34 44 34 44 50 28 44 44 28 65 50 50 28 28 50 29 50 49 65 51 33 66 44 50 65 50 50 28 45 44 28 65 78 50 50 45 28 65 28 39 65 28 50 44 65 45 33 50 44 28 44 29 65 50 50 28 50 28 66 50 33 65 28 50 44 65 28 78 45 50 44 1]X 792 3945 M (understanding, since it not only simplifies the descri) [50 50 50 44 33 39 28 44 50 50 28 51 49 25 38 39 28 50 44 44 38 28 28 38 49 50 28 38 50 50 29 47 38 39 28 78 50 28 28 33 28 44 39 38 28 50 44 38 50 44 39 44 33 1]X 2968 3945 M (ption of structure objects, but also ) [50 28 28 50 50 38 50 33 38 39 28 33 50 44 28 50 33 44 38 50 50 28 44 44 28 39 25 38 50 50 28 38 44 28 39 49 1]X 792 4175 M (facilitates the image interpretation of higher complexity. To embody this property into ) [33 44 44 28 28 28 28 44 28 44 39 38 28 50 44 38 28 78 45 50 44 38 28 50 28 45 33 50 33 44 28 44 28 28 50 50 38 50 34 38 50 28 49 51 44 33 39 44 50 78 50 28 44 51 28 29 47 25 38 61 50 39 44 78 50 50 51 48 38 29 50 28 39 38 50 33 50 50 44 33 30 48 38 28 50 28 51 1]X 792 4405 M (the model design, a composition attribute is introduced into the model object to specify ) [28 50 44 34 78 50 50 44 28 34 50 44 39 28 49 50 25 34 44 34 44 50 78 50 50 39 28 28 28 50 50 34 44 28 28 33 28 50 50 28 44 34 27 39 34 28 50 28 33 49 50 50 44 44 50 34 28 50 28 50 34 28 50 44 34 78 50 50 44 28 34 50 49 28 44 44 28 34 28 50 34 39 50 44 44 28 34 49 1]X 792 4635 M (all model component objects at its next lo) [44 28 28 31 78 50 50 44 28 31 44 50 78 50 50 50 44 50 28 31 50 50 28 44 44 28 39 31 44 28 31 28 28 39 31 50 44 51 28 31 28 1]X 2504 4635 M (wer layer. The main object which corresponds ) [72 44 33 31 28 46 49 44 33 25 31 61 50 44 31 78 44 28 50 31 50 50 29 44 44 28 31 72 50 28 45 50 31 44 50 33 33 44 39 50 50 50 50 40 1]X 792 4865 M (to the model object or the processed image scene at the top layer gives a global view of ) [28 50 31 28 50 44 31 78 50 50 44 28 31 50 50 28 45 44 28 31 50 34 31 28 51 44 31 50 33 51 44 44 39 39 44 51 31 28 78 45 49 44 31 40 44 44 50 45 31 44 28 31 28 50 45 31 28 50 50 31 28 46 48 45 33 32 49 28 50 44 40 31 45 32 49 28 50 50 44 28 31 50 29 44 72 31 51 33 1]X 792 5095 M (the object or the image. It contains not only the global description attributes such as the ) [28 50 44 32 50 50 28 44 44 28 32 50 33 32 28 50 44 32 28 78 45 50 44 25 33 32 28 33 44 50 50 28 44 28 50 39 32 50 50 28 32 50 50 29 48 32 28 51 44 33 49 28 50 50 44 28 32 50 44 40 44 33 28 50 28 28 50 50 32 44 28 28 33 28 50 51 28 44 39 32 39 50 44 50 32 44 39 32 28 50 44 1]X 792 5325 M (object size or orientation, bu) [50 50 28 44 44 28 28 39 28 45 44 28 50 33 28 50 33 28 44 50 28 44 28 28 50 50 25 28 50 1]X 1945 5325 M (t also a composite attribute to specify a list of all component ) [28 28 44 28 39 50 28 44 28 44 50 78 50 50 39 28 28 44 28 44 28 28 33 28 50 50 28 44 28 28 50 28 39 50 44 44 28 35 48 28 44 28 28 28 39 28 28 50 33 29 44 28 28 28 44 50 78 50 50 50 44 50 29 1]X 792 5555 M (objects existed in the main object. In such structure abstraction, the main object can be ) [50 50 28 44 44 28 39 35 44 51 28 39 28 44 50 35 28 49 35 28 50 44 35 77 44 28 50 35 50 50 28 44 44 28 25 36 31 50 35 39 50 44 50 35 39 28 33 50 44 29 50 33 44 35 44 50 39 28 33 44 44 28 28 50 50 25 35 28 50 44 35 78 44 28 50 35 50 50 28 44 44 28 35 44 44 50 35 50 44 1]X 792 5785 M (viewed as a single object. For those component objects at the lower layers of the ) [50 28 44 72 44 50 52 44 40 52 44 52 39 28 51 49 28 44 52 50 50 29 44 44 28 25 52 55 51 33 52 28 50 50 39 44 53 44 50 78 50 50 50 45 50 28 52 50 50 28 44 44 28 39 52 44 28 52 28 50 44 52 28 50 73 44 34 52 28 45 48 45 33 39 52 51 33 52 28 50 45 1]X 1 j 1 setlinecap 6 sl n 3135 1174 M 3135 1090 2824 1022 2441 1022 c 2058 1022 1748 1090 1748 1174 c 1748 1258 2058 1327 2441 1327 c 2824 1327 3135 1258 3135 1174 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 0 j n 208 37 2025 1083 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 208 37 2025 1143 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 208 36 2025 1215 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 1 j n 2700 1102 M 2700 1092 2687 1084 2673 1084 c 2658 1084 2646 1092 2646 1102 c 2646 1111 2658 1120 2673 1120 c 2687 1120 2700 1111 2700 1102 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 2815 1203 M 2815 1193 2802 1186 2788 1186 c 2773 1186 2761 1193 2761 1203 c 2761 1213 2773 1221 2788 1221 c 2802 1221 2815 1213 2815 1203 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 2551 1209 M 2551 1199 2538 1191 2524 1191 c 2509 1191 2497 1199 2497 1209 c 2497 1218 2509 1227 2524 1227 c 2538 1227 2551 1218 2551 1209 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 2659 1119 M 2538 1197 L CM [1 0 0 1 -108 -108] concat s SM n 2564 1214 M 2767 1214 L CM [1 0 0 1 -108 -108] concat s SM n 2679 1114 M 2774 1197 L CM [1 0 0 1 -108 -108] concat s SM [92 0 0 -92 0 0]/Times-Roman MF gs n 1323 88 1512 2404 CB 1512 2486 M (Fig 2.2: Representation of an object) [51 26 45 23 46 23 46 26 23 61 41 46 31 41 36 41 46 26 41 26 26 46 46 23 46 31 23 41 46 23 46 46 27 41 41 1]X gr gs n 29 88 2835 2404 CB 2835 2486 M (-) [1]X gr gs n 980 88 2864 2404 CB 2864 2486 M (oriented knowledge model) [46 31 26 41 46 26 41 46 23 45 46 46 66 26 41 46 45 41 23 70 46 46 41 1]X gr gs n 41 88 3844 2404 CB 3844 2486 M ( ) [1]X gr [100 0 0 -100 0 0]/Times-Roman MF 1095 855 M ( ) [1]X n 2150 2044 M 2150 1956 1920 1886 1637 1886 c 1353 1886 1124 1956 1124 2044 c 1124 2131 1353 2202 1637 2202 c 1920 2202 2150 2131 2150 2044 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 0 j n 193 29 1310 1980 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 198 35 1305 2067 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 1 j n 1736 2011 M 1736 2000 1728 1991 1718 1991 c 1708 1991 1701 2000 1701 2011 c 1701 2022 1708 2032 1718 2032 c 1728 2032 1736 2022 1736 2011 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 1836 2112 M 1836 2101 1828 2092 1818 2092 c 1808 2092 1801 2101 1801 2112 c 1801 2123 1808 2132 1818 2132 c 1828 2132 1836 2123 1836 2112 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 1876 1970 M 1876 1959 1868 1950 1858 1950 c 1848 1950 1841 1959 1841 1970 c 1841 1981 1848 1991 1858 1991 c 1868 1991 1876 1981 1876 1970 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 1993 2070 M 1993 2059 1985 2050 1975 2050 c 1965 2050 1958 2059 1958 2070 c 1958 2081 1965 2091 1975 2091 c 1985 2091 1993 2081 1993 2070 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 1736 2020 M 1952 2067 L CM [1 0 0 1 -108 -108] concat s SM n 1853 1991 M 1824 2097 L CM [1 0 0 1 -108 -108] concat s SM n 3696 2052 M 3696 1973 3474 1909 3200 1909 c 2926 1909 2705 1973 2705 2052 c 2705 2131 2926 2196 3200 2196 c 3474 2196 3696 2131 3696 2052 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 0 j n 216 41 2955 1968 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 216 41 2955 2038 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 216 42 2955 2108 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 1 j [24 18 ]0 sd n 2524 1217 M 1170 1979 L CM [1 0 0 1 -108 -108] concat s SM n 2547 1229 M 2144 2056 L CM [1 0 0 1 -108 -108] concat s SM n 2774 1235 M 2704 2056 L CM [1 0 0 1 -108 -108] concat s SM n 2774 1217 M 3673 2003 L CM [1 0 0 1 -108 -108] concat s SM [75 0 0 -75 0 0]/Times-Roman MF 1429 1018 M (The main object) [45 38 33 19 57 33 21 38 19 38 38 21 33 33 1]X 1916 1018 M ( ) [1]X 1032 1815 M (Component objects) [50 38 57 38 38 38 33 38 21 19 38 38 21 33 33 21 1]X 1615 1815 M ( ) [1]X 0 j []0 sd n 181 47 1992 2623 B cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM 1 j n 2103 2770 M 2103 2759 2092 2750 2079 2750 c 2066 2750 2056 2759 2056 2770 c 2056 2781 2066 2791 2079 2791 c 2092 2791 2103 2781 2103 2770 c cp gs 1 g e gr CM [1 0 0 1 -108 -108] concat s SM n 1998 2898 M 2167 2898 L CM [1 0 0 1 -108 -108] concat s SM [92 0 0 -92 0 0]/Times-Roman MF 2256 2645 M (Description attributes) [66 41 36 41 31 26 46 26 26 46 46 23 41 26 26 31 26 46 46 26 41 1]X 3055 2645 M ( ) [1]X 2256 2762 M (Component objects) [61 46 70 46 46 46 41 46 26 23 46 46 27 41 41 26 1]X 2970 2762 M ( ) [1]X 2256 2878 M (Semantic relations) [51 41 70 41 46 26 26 41 23 31 41 26 41 26 26 46 46 1]X 2940 2878 M ( ) [1]X showpage %%Page: 35 35 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (35) [50 1]X 792 582 M (hierarchy, the compo) [50 28 44 33 44 34 44 52 48 25 45 28 50 44 46 44 50 78 50 1]X 1679 582 M (sition attribute may or may not exist depending on whether the ) [39 28 28 28 50 50 45 44 28 28 33 28 50 50 28 44 45 78 46 48 45 50 34 45 78 45 48 46 50 50 28 46 44 51 28 39 28 45 50 44 50 44 50 50 28 50 49 45 51 50 45 72 50 44 28 50 44 34 45 28 50 44 1]X 792 812 M (component object is enable to be further decomposed.) [44 50 78 50 50 50 44 50 28 25 50 50 28 44 44 28 25 28 39 25 44 50 44 50 28 44 25 28 50 25 50 44 25 33 50 33 28 50 44 33 25 50 44 44 50 78 50 50 39 44 50 1]X 2949 812 M ( ) [1]X 792 1042 M ( ) [1]X 817 1042 M ( ) [1]X [117 0 0 -117 0 0]/Times-Bold MF 792 1323 M (The Semantic Graph Attribute ) [78 65 52 29 65 52 96 59 65 39 33 52 29 91 52 59 65 65 29 84 39 39 52 33 65 65 39 52 1]X 2364 1323 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1624 M (The spatial relationships among component objects outline the structure of an object or ) [61 50 44 35 39 50 44 28 28 44 28 35 33 44 28 44 28 28 50 50 39 50 28 50 39 35 44 78 50 50 49 35 44 50 78 50 50 50 44 50 28 35 50 50 28 45 44 28 39 35 50 50 28 28 28 50 44 35 28 50 44 35 39 28 33 50 44 28 50 33 44 35 50 33 35 44 50 35 50 50 28 44 44 28 35 50 34 1]X 792 1854 M (an image. This infor) [44 50 48 28 78 45 49 44 25 49 61 50 28 39 48 28 50 33 50 1]X 1672 1854 M (mation can be easily encoded in our object) [78 45 28 28 50 50 48 44 44 50 48 50 45 48 45 44 39 28 29 48 49 44 50 44 51 50 44 50 48 28 50 48 50 50 34 48 50 50 28 44 44 1]X 3543 1854 M (-) [1]X 3576 1854 M (oriented knowledge ) [50 33 29 44 50 28 44 50 48 50 50 50 72 28 44 51 50 45 1]X 792 2084 M (model by using the semantic graph attribute. In general, there are two properties included ) [78 50 50 44 28 27 51 48 27 50 39 28 51 49 27 28 50 44 27 39 44 78 45 50 28 28 44 27 49 34 44 50 50 27 44 28 28 33 28 50 50 28 44 25 28 32 50 28 50 45 50 44 33 44 28 25 27 28 50 44 34 44 27 44 34 44 27 28 72 50 27 50 33 50 51 44 33 28 28 44 39 27 28 50 44 28 50 50 44 51 1]X 792 2314 M (in this part. One is the connection between the same) [28 50 31 28 50 28 39 31 50 44 33 28 25 31 72 50 44 31 28 39 31 28 50 44 31 44 50 50 50 44 44 28 28 50 50 31 50 44 28 72 44 44 50 31 28 50 44 31 40 44 78 1]X 2927 2314 M (-) [1]X 2960 2314 M (level component objects. The other ) [28 44 50 44 28 31 44 50 78 50 50 51 44 50 28 31 50 50 28 44 44 28 39 25 31 61 50 44 31 50 28 50 44 34 1]X 792 2544 M (one is the adja) [50 50 44 34 28 39 34 28 50 45 34 44 50 28 1]X 1395 2544 M (cency referring to the contacts between component objects, such as right ) [44 44 51 46 48 34 34 44 34 44 33 33 28 51 49 34 28 51 34 28 50 44 35 44 50 50 28 44 44 28 39 34 51 45 28 72 44 44 50 35 44 50 78 50 50 50 44 50 28 34 50 50 28 45 44 29 39 25 34 39 50 44 50 35 44 39 34 33 29 49 50 28 1]X 792 2774 M (of, left of and so on.) [50 33 25 25 28 44 33 28 25 50 33 25 44 50 50 25 39 50 25 50 50 1]X 1599 2774 M ( ) [1]X 792 3187 M (These three attribute parts together present a robust representation ability. Since they not ) [61 50 44 39 44 29 28 50 34 44 45 29 44 28 28 33 28 50 50 28 44 29 51 44 33 29 39 29 28 50 50 44 28 50 44 34 29 50 33 44 40 44 50 28 29 45 29 33 50 50 51 39 28 29 33 44 50 34 44 39 44 50 28 44 28 28 50 50 30 44 50 28 28 28 29 48 25 30 56 28 50 44 44 29 28 50 46 48 29 50 50 29 1]X 792 3417 M (only fit to represent the object variability but also are suited to) [50 50 29 48 38 33 28 28 38 28 50 38 34 44 50 33 44 40 44 50 28 38 28 50 45 38 50 50 28 44 44 28 38 50 44 33 29 44 50 28 28 28 29 48 38 50 50 28 38 44 29 39 50 38 44 33 44 38 39 50 28 28 44 50 38 28 1]X 3427 3417 M ( express three common ) [39 44 51 50 33 44 39 39 38 28 50 33 44 44 38 44 50 78 78 50 51 1]X 792 3647 M (relations: the spatial adjacency relation, the hierarchy relation and the inheritance ) [33 44 28 44 28 28 50 50 39 28 60 28 50 44 60 39 50 44 28 28 44 28 60 44 50 28 44 44 44 50 46 48 61 33 44 28 44 28 28 50 50 25 60 28 50 44 61 50 28 44 33 44 34 44 52 47 61 33 44 28 44 28 28 50 50 60 44 50 50 61 28 50 44 60 28 50 50 44 33 28 28 44 50 44 45 1]X 792 3878 M (relation.) [33 44 28 44 28 28 50 50 1]X 1122 3878 M ( ) [1]X 792 4140 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 4487 M (2.4.2) [67 33 67 33 1]X 1059 4487 M ( ) [1]X 1092 4487 M ( Model Methods) [33 33 126 67 74 59 37 33 126 59 44 74 67 74 1]X 2050 4487 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 4810 M (This section details the mechanisms by which images can be connected with their ) [61 50 28 39 53 39 44 44 28 28 50 50 53 50 44 28 44 28 28 39 53 28 50 44 53 78 44 44 50 44 50 28 39 78 39 53 51 48 53 72 50 28 44 51 53 28 78 44 49 44 39 53 45 44 50 53 50 44 53 44 50 50 51 44 45 28 44 50 53 72 28 28 50 53 28 50 44 28 33 1]X 792 5040 M (corresponding knowledge models. In short,) [44 50 33 33 44 39 50 50 50 50 28 51 49 69 50 50 50 72 28 44 51 49 44 69 78 50 50 44 28 39 25 70 32 50 69 39 50 50 33 28 1]X 2699 5040 M ( model methods provide strategies to ) [69 78 50 50 44 28 69 78 44 28 50 50 50 39 69 50 33 50 50 28 49 44 69 39 28 33 44 28 45 49 28 44 39 69 28 50 1]X 792 5270 M (recognize the model objects in images. The model objects in this study imply the main ) [33 44 44 51 49 50 28 45 44 35 28 50 44 35 78 50 50 44 28 35 50 50 28 44 44 28 39 35 28 50 35 28 78 44 49 44 39 25 35 61 50 44 35 78 50 51 44 28 35 50 50 28 44 44 28 39 35 28 50 35 28 50 28 39 35 39 28 50 51 47 35 28 78 50 29 47 35 28 51 44 35 78 44 28 50 1]X 792 5500 M (object and all its component objects. Here, we concentrate on three main methods in the ) [50 50 28 44 44 28 31 44 50 50 31 44 28 28 31 28 28 39 31 44 50 78 50 49 50 44 50 28 31 50 50 28 44 44 28 39 25 31 72 44 33 44 25 31 72 44 31 45 50 50 44 44 50 28 33 44 28 44 31 50 50 31 28 50 33 45 44 31 78 44 28 50 31 78 44 28 50 50 50 39 31 28 50 30 28 50 44 1]X 792 5730 M (model: control strategy, match mechanism and ) [78 50 50 44 28 28 25 44 50 50 28 33 50 28 25 39 28 33 44 28 44 49 47 25 25 78 44 28 44 50 25 78 44 44 50 44 50 28 39 78 25 44 50 50 1]X 2683 5730 M (inference engine.) [28 50 33 44 33 44 50 44 44 25 44 50 49 28 50 44 1]X 3368 5730 M ( ) [1]X showpage %%Page: 36 36 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (36) [50 1]X [117 0 0 -117 0 0]/Times-Bold MF 792 600 M (Control Strategy) [84 59 65 39 52 59 33 29 65 39 52 59 39 52 59 1]X 1636 600 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 909 M (The overall task of the control strategy is to select computer vision procedures that will ) [61 50 44 33 50 50 44 34 44 28 28 33 28 44 39 50 33 50 33 33 28 50 44 33 45 50 50 28 33 50 28 33 39 28 33 44 28 45 51 47 33 28 39 33 28 50 33 39 44 28 45 44 28 33 44 50 78 50 50 28 44 33 33 50 28 39 28 50 50 33 50 33 50 44 45 50 50 33 44 39 33 28 50 44 28 33 72 28 28 29 1]X 792 1138 M (provide the most accurate results at the lowest cost. As discussed in section 2.3.3, the ) [50 33 50 50 28 50 44 39 28 50 44 39 78 50 39 28 39 44 44 44 50 33 45 28 44 39 33 44 39 50 28 28 39 39 44 28 39 28 50 44 39 28 50 72 44 39 27 38 44 50 39 28 25 39 72 39 39 50 28 39 44 50 39 39 44 50 39 28 49 39 39 44 44 28 28 50 50 39 50 25 50 25 50 25 39 28 50 43 1]X 792 1368 M (control strategies at the high layer can ) [44 50 50 28 33 50 28 26 39 28 33 44 28 45 49 28 44 39 26 44 28 26 28 50 44 26 50 28 49 50 26 28 46 48 44 33 27 44 44 50 1]X 2343 1368 M (be viewed as a heuristic search problem and aim to ) [50 44 26 50 28 44 73 44 50 26 45 39 26 44 26 50 44 50 33 28 39 28 28 44 26 39 44 44 33 44 50 26 50 33 50 50 29 44 78 26 44 50 50 26 44 28 78 26 28 50 1]X 792 1598 M (search for the optimal sequence of detection procedures. The control strategies in the ) [39 44 44 33 44 50 43 33 50 33 42 28 50 44 42 50 50 28 28 78 44 28 42 40 44 50 50 44 50 45 44 42 50 33 42 50 44 28 45 44 28 28 50 50 42 50 34 50 44 44 50 50 34 44 39 25 42 61 50 44 42 44 50 50 28 33 50 28 42 39 29 33 44 28 45 49 28 44 39 42 28 50 42 28 50 44 1]X 792 1828 M (lower layer are to seek an efficient and effective combination of both bottom) [28 50 72 44 33 28 28 46 48 44 33 29 44 33 44 28 28 50 28 39 45 44 50 28 45 50 28 44 33 33 28 44 28 44 50 28 28 44 50 50 29 44 33 34 44 44 28 28 50 44 29 44 50 78 50 28 50 44 28 28 50 50 28 50 33 28 50 50 28 50 28 50 50 28 27 50 1]X 3898 1828 M (-) [1]X 3931 1828 M (up and top) [50 50 28 44 50 50 28 28 50 1]X 4359 1828 M (-) [1]X 792 2058 M (down process methods to facil) [50 50 72 50 25 50 33 50 44 44 39 39 25 78 44 28 50 50 50 39 25 28 50 25 33 44 44 28 1]X 2007 2058 M (itate the feature detection.) [28 28 44 28 44 25 28 50 44 25 33 44 44 28 50 33 44 25 50 44 28 44 44 28 28 50 50 1]X 3043 2058 M ( ) [1]X 792 2337 M ( ) [1]X [117 0 0 -117 0 0]/Times-Bold MF 792 2585 M (Match Mechanism) [110 59 39 52 65 29 110 52 52 65 59 65 33 46 1]X 1724 2585 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 2894 M (Matching is another basic model method which attempts to recognize objects by ) [89 44 28 44 50 28 50 49 60 28 39 61 44 50 50 28 50 44 33 60 51 44 39 28 44 60 78 50 50 44 28 60 78 44 28 50 50 50 60 72 51 28 44 50 60 44 28 28 44 78 50 28 39 60 28 50 60 33 44 44 51 49 50 29 45 44 60 50 50 28 44 44 28 39 60 52 49 1]X 792 3124 M (matching image data with known characteristics of an object. Some objects are described ) [78 44 28 44 50 28 50 49 28 28 78 45 49 44 28 50 44 28 44 28 72 28 29 50 28 50 50 50 72 50 28 44 50 44 33 44 44 29 44 33 28 39 28 28 44 39 28 50 33 28 44 50 28 50 50 28 44 44 28 25 28 56 50 78 44 28 50 50 28 44 44 28 39 28 44 33 44 28 50 44 39 44 33 28 50 44 51 1]X 792 3354 M (and matched by their shapes, while others ar) [44 50 50 31 78 44 28 44 50 44 50 31 52 48 31 28 50 44 28 33 31 39 50 45 50 44 39 25 31 72 50 28 28 44 31 50 28 50 44 33 39 31 44 1]X 2610 3354 M (e matched by features like color, texture, or ) [44 31 78 44 28 44 50 44 50 31 52 47 32 33 45 44 28 50 33 44 39 31 28 28 50 44 31 44 50 29 50 33 25 31 28 44 51 28 50 33 44 25 31 50 33 1]X 792 3584 M (context. Image understanding system should be capable to select the appropriate features ) [44 50 50 28 44 51 28 25 30 31 78 45 49 45 29 50 50 50 44 33 39 28 44 51 50 28 50 49 29 41 48 39 28 44 78 29 39 50 50 50 28 50 29 50 44 30 44 45 50 44 50 28 44 29 28 50 29 39 44 28 45 44 28 29 28 50 44 29 44 50 51 33 51 50 33 28 44 28 44 29 34 44 44 28 50 33 44 40 1]X 792 3814 M (for the current target object and allow to adapt to variations among instances of the ) [33 50 33 45 28 50 44 45 44 50 34 33 44 50 28 45 28 44 34 50 44 28 45 50 50 28 44 44 28 45 44 50 50 45 44 28 28 50 72 45 28 50 45 44 50 44 51 28 45 28 50 45 50 44 33 28 44 28 28 50 50 39 45 44 78 50 50 49 45 29 50 39 28 44 50 44 44 39 45 50 33 45 28 50 45 1]X 792 4044 M (object. In general, match processin) [50 50 28 44 44 28 25 26 32 51 26 49 44 50 45 33 44 28 25 25 79 44 28 44 50 26 50 33 50 44 44 39 39 28 1]X 2188 4044 M (g is time) [49 25 28 39 25 28 28 78 1]X 2532 4044 M (-) [1]X 2566 4044 M (consuming even in the simplest cases, but the ) [44 50 50 39 51 78 28 50 49 26 44 50 44 50 26 28 50 26 28 50 44 26 39 28 78 50 28 44 38 28 26 44 44 39 44 39 25 26 50 50 28 26 28 50 43 1]X 792 4274 M (process can be made faster if a good operation sequence is found. An efficient strategy is ) [50 33 50 44 44 39 39 28 44 44 50 28 50 44 28 78 44 51 44 28 33 44 39 29 44 33 28 28 33 28 44 28 49 50 50 50 28 50 50 45 33 44 28 28 50 50 28 39 45 50 50 44 50 44 44 28 28 39 28 33 50 50 50 50 25 28 72 50 28 44 33 33 29 44 28 44 50 28 28 39 28 33 44 28 45 51 47 28 28 39 1]X 792 4504 M (to look for the best partial matches first, followed by verifying a graph construction of ) [28 50 36 28 50 50 50 36 33 50 33 36 28 50 44 36 50 44 39 28 36 50 44 33 28 29 44 28 36 78 44 28 44 50 44 39 36 33 28 33 39 28 25 36 33 50 28 28 50 72 45 50 36 51 48 36 50 45 33 28 35 48 28 51 49 36 44 37 49 34 44 50 50 36 45 50 50 39 28 33 50 44 28 28 50 50 36 50 33 1]X 792 4734 M (these partial match) [28 50 44 39 44 48 50 44 33 28 28 44 28 48 78 44 28 44 1]X 1592 4734 M (es. A good example is the recognition of a rectangle in a noise) [44 39 25 49 72 48 49 50 50 50 48 44 51 44 78 50 28 44 48 28 39 48 28 50 44 48 33 44 44 51 49 50 28 28 28 50 50 48 50 33 48 44 48 33 45 44 28 44 51 49 28 44 48 28 50 48 44 48 50 50 28 39 1]X 4357 4734 M (-) [1]X 792 4964 M (corrupted image. After segmentation, the broken lines are obtained as the primitives. The ) [44 50 33 33 50 50 28 44 50 28 28 78 45 49 44 25 28 72 33 29 44 33 28 39 44 49 79 44 50 28 44 28 28 50 50 25 28 28 50 44 28 50 33 50 50 44 50 28 28 28 50 44 39 28 44 33 44 28 50 50 28 44 28 50 44 50 28 44 39 28 28 50 44 28 50 33 28 78 28 28 28 50 44 39 25 28 61 50 44 1]X 792 5193 M (searching for full lines as intermediate objects before building the rectangle seems to be a ) [39 44 44 33 44 50 28 51 49 27 33 50 33 27 33 50 28 28 26 28 28 50 44 39 26 44 40 26 28 50 28 44 33 78 44 50 28 44 28 44 26 50 50 29 44 44 28 39 26 50 45 34 50 33 44 26 50 50 28 28 50 28 50 50 26 28 50 44 26 34 44 44 28 44 51 49 29 44 26 39 44 44 78 39 26 28 50 26 51 44 27 44 1]X 792 5423 M (better an) [50 44 28 28 44 33 34 44 1]X 1147 5423 M (d more sensible policy than directly building the rectangle from the primitives. ) [50 34 78 50 33 44 34 39 44 50 39 28 50 28 45 34 50 50 28 28 45 47 34 28 50 44 50 34 50 28 34 44 44 28 30 47 34 50 50 28 29 50 28 50 49 34 28 50 44 34 33 44 44 29 44 51 49 28 44 34 33 33 50 78 34 28 50 44 34 50 33 28 78 28 28 28 50 44 39 24 1]X 792 5653 M (Our hierarchical model structure already provides such a good mechanism for this idea. ) [72 50 33 33 50 28 44 34 44 33 44 50 28 45 44 28 33 78 50 50 44 28 33 40 28 33 50 44 28 50 33 44 34 44 28 33 44 44 52 48 34 50 33 50 50 28 50 44 40 33 39 50 44 50 33 44 34 49 50 50 51 33 78 44 44 50 45 50 28 39 78 33 33 50 33 33 28 50 28 39 33 28 50 44 44 26 1]X showpage %%Page: 37 37 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (37) [50 1]X 792 582 M (The match schemes in the component objects implement matching directly with their ) [61 50 44 43 78 44 28 44 50 43 39 44 50 44 78 44 39 43 28 50 43 27 50 44 43 44 50 78 50 50 50 44 50 28 43 50 50 28 44 44 28 39 43 27 78 50 28 44 78 44 50 28 43 78 44 28 44 50 28 50 49 43 50 28 33 45 44 28 29 47 44 72 28 28 50 43 28 50 44 28 33 1]X 792 812 M (relate) [33 44 28 44 28 1]X 1013 812 M (d image sub) [50 37 28 78 45 49 44 37 39 50 1]X 1520 812 M (-) [1]X 1553 812 M (regions. Once the matching of all component objects is finished, the ) [34 45 49 28 50 50 39 25 37 72 50 44 44 37 28 50 44 37 78 44 28 44 50 28 50 49 37 50 34 37 44 28 28 37 44 50 78 50 50 50 44 50 28 37 50 50 28 44 44 28 39 37 27 39 37 33 28 50 28 39 50 44 50 25 37 28 50 44 1]X 792 1042 M (match scheme in the main object combines all match candidates to construct a set of ) [78 44 28 44 50 41 39 44 50 44 79 44 41 28 50 41 28 50 45 41 78 44 28 50 41 50 50 28 44 44 28 42 44 50 78 50 28 50 44 39 41 44 28 28 42 78 44 28 44 50 41 44 44 50 50 28 51 44 28 44 39 41 28 50 42 44 50 51 39 28 33 50 44 28 41 44 41 40 44 28 41 50 34 1]X 792 1272 M (combination graphs of image objects, and then verifies the graphs with the semantic ) [44 50 78 50 28 50 44 28 28 50 50 45 49 33 44 50 50 39 45 50 33 45 29 78 44 50 44 45 50 50 28 44 44 28 39 25 45 44 50 50 45 28 50 44 50 45 50 44 33 28 33 28 44 39 45 28 50 44 46 49 33 44 50 50 39 45 72 28 28 51 45 28 50 44 45 39 44 78 44 50 28 28 44 1]X 792 1502 M (graph a) [49 33 44 50 50 25 1]X 1087 1502 M (ttribute in the knowledge model to infer the best match results. ) [28 28 33 28 50 50 28 44 25 28 50 25 28 50 44 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 25 28 50 25 28 50 33 44 33 25 28 50 44 25 50 44 39 28 25 78 44 28 44 50 25 33 44 39 50 28 28 39 25 1]X 3617 1502 M ( ) [1]X 792 1782 M ( ) [1]X 972 1782 M (Based on the features selected, the matching criteria may be variant. For some simple ) [66 44 39 44 51 25 50 50 25 28 50 44 25 34 44 44 28 50 34 44 39 25 39 44 29 44 44 28 44 50 25 25 28 50 44 25 79 44 28 44 50 28 51 49 25 44 33 28 28 45 34 28 44 25 78 45 48 26 50 44 25 51 44 33 28 44 50 28 25 26 55 50 33 25 39 51 78 44 25 39 28 78 50 28 43 1]X 792 2012 M (features, such as color, size and texture, the match criteria usually compute the distance ) [33 44 44 28 50 34 44 39 25 33 39 50 44 50 33 44 39 33 44 50 28 50 33 25 33 40 28 45 44 33 44 50 50 33 28 44 51 28 50 33 44 25 33 28 50 44 33 78 44 28 43 50 33 44 33 28 28 44 33 28 44 33 50 39 50 44 28 30 47 34 44 50 78 50 50 28 44 33 28 50 44 33 50 28 39 28 44 50 44 45 1]X 792 2242 M (between inst) [50 44 28 72 44 44 50 33 28 50 39 1]X 1302 2242 M (ance features and the predefined properties of the corresponded object. The ) [44 50 45 44 33 33 44 44 28 50 34 45 39 33 44 50 50 33 28 50 44 33 50 33 44 50 44 33 28 50 44 50 33 50 33 51 50 44 33 28 28 44 39 33 50 33 33 28 50 44 33 44 50 33 34 44 39 50 50 50 51 44 50 33 50 50 28 44 44 28 25 33 61 50 44 1]X 792 2472 M (smaller the distance, the better the match. However, for other features like shape and ) [39 78 44 28 28 44 33 41 28 50 44 41 50 28 39 28 44 51 44 44 25 41 28 50 45 41 50 44 28 28 44 33 41 28 51 44 41 78 44 28 44 50 26 41 72 50 72 45 50 44 33 25 41 33 51 33 41 50 28 50 44 34 41 34 44 44 28 50 33 44 40 41 28 28 50 44 41 39 50 44 50 45 41 44 51 51 1]X 792 2702 M (spatial relation, it is hard to define the distance measurement to evaluate their similarity.) [39 50 44 28 28 44 28 30 33 44 28 44 28 28 50 50 25 30 28 28 30 28 40 30 50 44 33 51 30 28 50 30 50 44 33 28 51 44 30 28 50 45 30 50 28 39 28 44 50 44 45 30 78 44 44 39 50 33 44 79 44 50 28 30 28 50 30 44 51 44 28 50 44 28 45 30 28 50 44 28 33 30 39 28 78 28 28 44 33 28 29 49 1]X 4392 2702 M ( ) [1]X 792 2932 M (So the following matching criteria are taken into account.) [56 50 25 28 50 44 25 33 50 28 28 50 72 28 50 49 25 78 44 28 44 50 28 50 49 25 44 33 28 28 44 33 28 44 25 44 33 44 25 28 44 50 44 50 25 28 50 28 50 25 44 44 44 50 50 50 28 1]X 3089 2932 M ( ) [1]X [108 0 0 -108 0 0]/Times-BoldItalic MF 792 3273 M (Matching of the Component Object Shape) [96 54 30 48 60 30 60 54 27 54 36 27 30 60 48 27 72 54 86 54 54 60 48 60 30 27 78 54 30 48 48 30 27 60 60 54 54 1]X 2669 3273 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 3528 M (The shape matching would be extremely easy if an exact copy of the interested pattern ) [61 50 44 35 39 50 44 50 44 35 78 44 29 44 50 28 50 49 36 72 51 50 28 50 35 50 44 35 44 51 28 33 44 78 44 29 48 35 45 44 41 48 35 28 34 35 44 50 35 44 51 44 44 28 35 44 50 52 48 35 50 33 35 28 50 44 35 28 50 29 44 33 44 39 28 44 50 35 51 44 28 28 44 33 50 1]X 792 3757 M (could be expected in the processed image; however, in real images, some) [44 50 50 28 50 39 50 44 39 44 51 50 44 44 28 44 50 39 28 50 39 28 50 44 39 50 33 50 44 44 39 40 44 50 39 28 78 45 49 44 28 39 50 50 73 44 50 44 33 25 39 28 50 39 34 44 44 28 39 28 78 45 49 44 39 25 39 39 51 78 1]X 3875 3757 M ( parts of the ) [39 50 44 33 28 39 39 50 33 39 28 50 45 1]X 792 3987 M (pattern are usually corrupted by noise, geometric distortion, occlusion, and etc. Many ) [50 44 28 28 44 33 50 42 44 33 44 42 50 39 50 44 28 30 47 43 44 50 33 34 50 50 28 44 50 42 51 47 42 50 50 28 39 44 25 43 49 44 50 78 44 28 34 28 44 42 50 28 39 28 50 33 28 28 50 50 25 42 50 44 44 28 50 39 28 50 50 24 41 44 50 50 42 44 28 44 25 42 89 44 52 49 1]X 792 4217 M (facts like size, orientation and distortion will also influence the accuracy of the ) [33 44 44 28 39 62 28 28 50 44 62 39 28 45 44 25 62 51 33 28 44 50 28 44 29 28 50 50 62 44 50 50 62 50 28 39 28 50 33 28 28 50 50 62 72 28 28 28 62 44 28 39 50 62 28 50 33 28 50 44 50 45 44 62 28 50 45 62 45 45 44 50 33 44 46 48 63 50 34 62 28 50 44 1]X 792 4447 M (correlation value. Therefore, it is impossible to look for an exact mat) [44 50 33 33 44 29 44 28 28 50 50 42 50 44 28 50 44 25 42 61 50 44 34 45 33 50 33 44 25 42 28 28 42 28 39 42 28 78 50 50 39 39 28 50 28 44 42 28 49 42 28 50 50 50 42 33 50 33 42 44 50 42 44 51 44 44 28 42 78 44 1]X 3730 4447 M (ch, a search for ) [45 50 25 42 44 42 39 44 44 34 44 50 42 33 50 34 1]X 792 4678 M (location with optimal match is more appropriate. ) [28 50 44 44 28 28 50 50 25 72 28 28 50 25 50 50 28 28 78 44 28 25 78 44 28 44 50 25 28 39 25 78 50 33 44 25 44 50 50 33 50 50 33 28 44 28 44 25 1]X 2768 4678 M ( ) [1]X 792 4958 M ( ) [1]X 972 4958 M (The shape matching criteria can be defined in many ways: in particular, correlation ) [61 50 44 33 39 50 44 50 44 33 78 44 29 44 50 28 50 49 34 44 33 28 29 44 33 28 44 33 45 44 50 33 50 44 33 51 44 33 28 50 44 50 33 28 50 33 79 44 51 48 34 72 46 48 39 28 33 28 50 33 50 44 33 28 28 44 50 28 45 33 25 34 44 50 33 33 44 29 44 28 28 50 49 1]X 792 5187 M (between a pattern and the searched image data is a general matching criterion. In this ) [50 44 28 72 44 44 50 40 44 39 50 44 28 28 45 33 50 39 44 50 50 39 29 50 44 39 39 44 45 33 44 50 44 51 39 28 78 45 49 44 39 51 44 28 44 40 28 39 39 44 39 50 44 50 45 33 44 28 39 78 44 28 44 50 28 51 49 40 44 34 28 28 44 33 28 50 50 25 40 32 50 39 28 50 28 39 1]X 792 5417 M (study, we assure ) [39 28 50 51 48 25 28 72 44 29 44 39 39 50 33 44 1]X 1483 5417 M (that a shape pattern is found in an image only if the correlation between ) [28 50 44 28 29 44 28 40 50 44 50 44 28 50 44 28 28 44 33 50 28 28 39 29 33 50 50 50 50 28 28 50 28 44 50 28 28 78 44 50 44 28 50 50 30 48 28 28 33 28 28 50 44 28 44 51 33 34 44 28 44 28 28 50 50 28 50 44 28 72 44 44 51 1]X 792 5647 M (the shape model and the edge map of the image exceed a pre) [28 50 44 25 39 50 44 50 44 25 78 50 50 44 28 26 44 50 50 25 28 50 44 26 44 50 50 44 25 78 44 50 25 50 34 25 28 50 44 25 28 78 45 49 44 26 45 51 44 44 44 50 25 44 25 50 33 1]X 3220 5647 M (-) [1]X 3253 5647 M (defined threshold. However, ) [50 44 33 28 51 44 50 25 28 50 33 44 40 50 50 28 50 25 25 72 50 72 44 50 44 33 26 1]X showpage %%Page: 38 38 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (38) [50 1]X 792 582 M (to perform such matching in real world images is not easy as the reasons mentioned ) [28 50 43 50 44 33 33 50 33 78 43 39 50 44 50 43 78 44 28 44 50 29 50 49 43 28 50 43 33 45 44 28 43 72 50 33 28 50 43 28 78 45 49 44 40 43 28 39 43 50 50 28 43 44 44 40 48 43 44 39 43 28 50 44 44 33 44 44 40 50 50 39 43 78 44 50 28 28 50 50 44 50 1]X 792 812 M (before. To o) [50 44 33 50 33 44 25 34 61 50 34 1]X 1300 812 M (vercome such problem and improve the match quality, we properly deform ) [51 44 33 44 50 79 44 34 39 50 45 50 34 50 33 50 50 28 44 78 34 44 50 50 34 28 78 50 33 50 50 44 35 28 50 44 34 78 44 28 44 50 34 50 50 44 28 28 29 48 25 34 73 44 34 50 34 50 50 44 33 29 48 34 51 44 33 50 33 78 1]X 792 1042 M (the model shape according to the image features, such as size, orientation, and also relax ) [28 50 44 29 78 50 50 44 28 29 39 50 44 50 45 29 44 45 44 50 33 50 29 50 49 29 28 50 29 28 50 45 29 28 78 45 49 44 30 33 44 44 28 51 33 44 39 26 29 39 50 44 50 29 44 39 29 39 28 45 44 25 29 50 33 29 44 50 28 44 28 28 50 50 25 29 44 50 50 29 44 28 39 50 30 33 44 28 44 51 1]X 792 1272 M (the model shape constraint by convoluting it with a matrix M. So that the edge of the ) [28 50 44 38 78 50 50 44 28 38 39 50 44 50 44 38 44 50 50 39 28 33 45 28 50 28 38 51 47 38 44 50 50 50 50 28 50 28 28 51 49 38 28 28 38 72 28 28 50 38 44 38 78 44 28 33 28 51 38 89 24 38 56 50 37 28 50 44 28 38 27 50 44 38 44 51 49 44 38 50 33 38 28 50 44 1]X 792 1502 M (model is) [78 50 50 44 28 34 28 1]X 1143 1502 M ( no longer one pixel but at least seven pixels wide, which will greatly increase ) [34 50 50 34 28 50 50 49 44 33 34 50 50 44 35 50 28 51 44 28 34 50 50 28 34 44 28 34 28 44 44 39 28 34 39 44 50 44 50 34 50 28 51 44 28 39 34 72 28 50 44 25 34 72 50 28 44 50 34 72 28 28 28 33 49 34 44 44 28 30 48 34 28 50 44 33 45 44 39 45 1]X 792 1733 M (the matching possibility.) [28 50 44 25 78 44 28 44 50 28 50 49 25 50 50 39 39 28 50 28 28 28 28 47 1]X 1775 1733 M ( ) [1]X [104.664 0 0 -104.664 0 0]/Symbol MF 2531 2922 M (\372) [1]X 2531 2821 M (\372) [1]X 2531 2721 M (\372) [1]X 2531 2621 M (\372) [1]X 2531 2520 M (\372) [1]X 2531 2420 M (\372) [1]X 2531 2320 M (\372) [1]X 2531 2220 M (\372) [1]X 2531 2119 M (\372) [1]X 2531 2978 M (\373) [1]X 2531 2019 M (\371) [1]X 1561 2922 M (\352) [1]X 1561 2821 M (\352) [1]X 1561 2721 M (\352) [1]X 1561 2621 M (\352) [1]X 1561 2520 M (\352) [1]X 1561 2420 M (\352) [1]X 1561 2320 M (\352) [1]X 1561 2220 M (\352) [1]X 1561 2119 M (\352) [1]X 1561 2978 M (\353) [1]X 1561 2019 M (\351) [1]X 1470 2481 M (=) [1]X [104.664 0 0 -104.664 0 0]/Times-Roman MF 2477 2953 M (0) [1]X 2328 2953 M (0) [1]X 2179 2953 M (0) [1]X 2039 2953 M (1) [1]X 1900 2953 M (0) [1]X 1751 2953 M (0) [1]X 1602 2953 M (0) [1]X 2477 2796 M (0) [1]X 2328 2796 M (0) [1]X 2179 2796 M (0) [1]X 2039 2796 M (1) [1]X 1900 2796 M (0) [1]X 1751 2796 M (0) [1]X 1602 2796 M (0) [1]X 2477 2639 M (0) [1]X 2328 2639 M (0) [1]X 2179 2639 M (0) [1]X 2039 2639 M (1) [1]X 1900 2639 M (0) [1]X 1751 2639 M (0) [1]X 1602 2639 M (0) [1]X 2477 2482 M (1) [1]X 2328 2482 M (1) [1]X 2179 2482 M (1) [1]X 2039 2482 M (1) [1]X 1899 2482 M (1) [1]X 1750 2482 M (1) [1]X 1601 2482 M (1) [1]X 2477 2325 M (0) [1]X 2328 2325 M (0) [1]X 2179 2325 M (0) [1]X 2039 2325 M (1) [1]X 1900 2325 M (0) [1]X 1751 2325 M (0) [1]X 1602 2325 M (0) [1]X 2477 2168 M (0) [1]X 2328 2168 M (0) [1]X 2179 2168 M (0) [1]X 2039 2168 M (1) [1]X 1900 2168 M (0) [1]X 1751 2168 M (0) [1]X 1602 2168 M (0) [1]X 2477 2011 M (0) [1]X 2328 2011 M (0) [1]X 2179 2011 M (0) [1]X 2039 2011 M (1) [1]X 1900 2011 M (0) [1]X 1751 2011 M (0) [1]X 1602 2011 M (0) [1]X [104.664 0 0 -104.664 0 0]/Times-Italic MF 1334 2481 M (M) [1]X [100 0 0 -100 0 0]/Times-Roman MF 2592 2504 M ( ) [1]X 2892 2504 M ( ) [1]X 792 3243 M (The following formulations \(2.1) [61 50 44 30 33 50 28 28 50 72 28 50 49 30 33 50 33 78 50 28 44 28 29 50 50 39 30 33 50 25 1]X 2095 3243 M (-) [1]X 2128 3243 M (2.3\) presents a matching value between ) [50 25 50 33 30 50 33 44 39 44 50 28 39 30 44 31 78 44 28 44 50 28 50 49 30 50 44 28 50 44 30 51 44 28 72 44 44 50 1]X [100 0 0 -100 0 0]/Times-Italic MF 3759 3243 M (f) [1]X [100 0 0 -100 0 0]/Times-Roman MF 3787 3243 M ( \(the edge map ) [30 33 28 50 44 30 44 50 49 44 30 78 44 51 1]X 792 3473 M (of images\) and ) [50 33 25 28 78 45 49 44 39 33 26 44 50 50 1]X [100 0 0 -100 0 0]/Times-Italic MF 1411 3473 M (h) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1461 3473 M ( \(a component object ) [26 33 44 26 44 50 78 50 50 50 44 50 28 25 50 50 28 44 44 28 1]X 2328 3473 M (shape after convolution\) located at a position ) [39 50 44 51 44 25 45 33 28 44 33 26 45 50 50 50 50 28 50 28 28 50 50 33 25 28 50 44 44 28 44 50 25 44 28 26 44 25 51 50 39 28 28 28 50 50 1]X [100 0 0 -100 0 0]/Times-Italic MF 4156 3473 M ( \(u, v\)) [25 32 50 26 25 45 1]X [100 0 0 -100 0 0]/Times-Roman MF 4392 3473 M ( ) [1]X 792 3703 M (in the image, and ) [28 50 25 28 50 44 25 28 78 44 49 44 25 25 44 50 50 1]X [100 0 0 -100 0 0]/Times-Italic MF 1504 3703 M (V) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1565 3703 M ( is the set of elements in the component object shape matrix.) [25 28 39 25 28 50 44 25 39 44 28 25 50 33 25 44 28 44 78 44 50 28 39 25 28 50 25 28 50 44 25 44 50 78 50 50 50 44 50 28 25 50 50 28 44 44 28 25 39 50 44 50 44 25 78 44 28 33 28 51 1]X 3980 3703 M ( ) [1]X 792 3934 M ( ) [1]X 792 4197 M ( ) [1]X 2517 4197 M ( ) [1]X 2592 4197 M ( ) [1]X 2892 4197 M ( ) [1]X 3192 4197 M ( ) [1]X 3492 4197 M ( ) [1]X 3792 4197 M ( ) [1]X 792 4460 M ( ) [1]X 2517 4460 M ( ) [1]X 2592 4460 M ( ) [1]X 2892 4460 M ( ) [1]X 3192 4460 M ( ) [1]X 792 4724 M ( ) [1]X 792 4896 M ( ) [1]X 792 5160 M ( ) [1]X 792 5331 M ( ) [1]X 972 5331 M (To speed up the process and reduce the processing complexity, we derive a threshold ) [61 50 26 39 50 44 44 50 26 50 50 26 28 51 44 26 50 33 50 45 44 39 39 27 44 50 50 26 33 44 50 51 44 44 26 28 50 45 26 50 33 50 45 44 39 39 28 50 49 27 44 50 78 50 28 44 51 28 29 47 25 27 72 44 26 51 44 33 28 50 44 27 44 26 28 50 33 44 39 50 50 28 51 1]X 792 5561 M (from numerous ex) [33 33 50 78 31 50 50 78 44 33 50 50 39 31 44 1]X 1537 5561 M (periments. Only the positions with the correlation value exceeding the ) [50 44 33 28 78 44 50 28 39 25 31 72 50 29 47 31 28 50 44 31 50 50 39 28 28 28 50 50 39 31 72 28 28 50 31 28 50 44 31 44 50 33 33 44 28 44 28 28 50 50 31 50 44 28 50 44 31 44 51 44 44 44 50 28 50 49 31 28 50 45 1]X 792 5791 M (threshold are kept, along with their corresponding correlation values. Then, we construct ) [28 50 33 44 39 50 50 28 50 30 44 33 44 30 50 44 50 28 25 30 44 28 50 51 50 30 72 28 28 50 30 28 50 44 28 33 30 44 50 33 33 44 39 50 50 50 50 28 50 50 30 44 50 33 33 44 28 44 28 28 50 50 30 50 44 28 50 44 39 25 30 61 50 44 51 25 30 72 44 30 44 50 50 39 28 33 50 44 28 1]X [131.609 0 0 -112.109 0 0]/Symbol MF 1954 4568 M ([) [1]X 3130 4568 M (]) [1]X 2 setlinecap 16 sl n 1616 4420 M 3450 4420 L CM 0.348 0.211 scale s SM [82 0 0 -82 0 0]/Times-Roman MF 4237 4441 M (\)) [1]X 4170 4441 M (2) [1]X 4137 4441 M (.) [1]X 4070 4441 M (2) [1]X 4022 4441 M (\() [1]X 3389 4568 M (1) [1]X 3083 4568 M (\)) [1]X 2967 4568 M (,) [1]X 2883 4568 M (\() [1]X 2652 4568 M (\)) [1]X 2356 4568 M (,) [1]X 2085 4568 M (\() [1]X 2500 4390 M (1) [1]X 1436 4441 M (\)) [1]X 1329 4441 M (,) [1]X 1214 4441 M (\() [1]X [47.832 0 0 -47.832 0 0]/Times-Roman MF 3168 4526 M (2) [1]X 1811 4647 M (\)) [1]X 1745 4647 M (,) [1]X 1687 4647 M (\() [1]X 1158 4461 M (2) [1]X [82 0 0 -82 0 0]/Symbol MF 3305 4568 M (+) [1]X 3232 4605 M (\367) [1]X 3232 4560 M (\367) [1]X 3232 4658 M (\370) [1]X 3232 4507 M (\366) [1]X 1621 4605 M (\347) [1]X 1621 4560 M (\347) [1]X 1621 4658 M (\350) [1]X 1621 4507 M (\346) [1]X 2718 4568 M (-) [1]X 2493 4568 M (+) [1]X 2191 4568 M (+) [1]X 1510 4441 M (=) [1]X [123 0 0 -123 0 0]/Symbol MF 1740 4587 M (\345) [1]X [47.832 0 0 -47.832 0 0]/Symbol MF 1831 4647 M (\316) [1]X [82 0 0 -82 0 0]/Times-Italic MF 3039 4568 M (j) [1]X 2927 4568 M (i) [1]X 2814 4568 M (h) [1]X 2589 4568 M (v) [1]X 2428 4568 M (j) [1]X 2285 4568 M (u) [1]X 2129 4568 M (i) [1]X 2016 4568 M (f) [1]X 1374 4441 M (v) [1]X 1258 4441 M (u) [1]X 1064 4441 M (C) [1]X [47.832 0 0 -47.832 0 0]/Times-Italic MF 1875 4647 M (V) [1]X 1781 4647 M (j) [1]X 1717 4647 M (i) [1]X [100 0 0 -100 0 0]/Times-Roman MF gs n 45 101 4299 4311 CB 4299 4388 M ( ) [1]X gr [87.488 0 0 -87.488 0 0]/Times-Roman MF gs n 44 25 2213 4687 CB 2213 4764 M (1) [1]X gr [100 0 0 -100 0 0]/Times-Roman MF gs n 45 20 3011 4692 CB 3011 4782 M ( ) [1]X gr [122.352 0 0 -139.75 0 0]/Symbol MF 1619 4089 M (\() [1]X 3305 4089 M (\)) [1]X n 1612 3999 M 3490 3999 L CM 0.32 0.23 scale s SM [89.141 0 0 -89.141 0 0]/Times-Roman MF 4213 4021 M (\)) [1]X 4161 4021 M (1) [1]X 4130 4021 M (.) [1]X 4068 4021 M (2) [1]X 4023 4021 M (\() [1]X 3433 4091 M (1) [1]X 3280 4091 M (|) [1]X 3217 4091 M (\)) [1]X 3109 4091 M (,) [1]X 3031 4091 M (\() [1]X 2813 4091 M (\)) [1]X 2535 4091 M (,) [1]X 2280 4091 M (\() [1]X 2144 4091 M (|) [1]X 1652 4091 M (max) [69 40 1]X 2520 3965 M (1) [1]X 1442 4021 M (\)) [1]X 1341 4021 M (,) [1]X 1234 4021 M (\() [1]X [52 0 0 -52 0 0]/Times-Roman MF 1991 4113 M (\)) [1]X 1929 4113 M (,) [1]X 1876 4113 M (\() [1]X 1187 4043 M (1) [1]X [89.141 0 0 -89.141 0 0]/Symbol MF 3354 4091 M (+) [1]X 2877 4091 M (-) [1]X 2664 4091 M (+) [1]X 2380 4091 M (+) [1]X 1512 4021 M (=) [1]X [52 0 0 -52 0 0]/Symbol MF 2010 4113 M (\316) [1]X [89.141 0 0 -89.141 0 0]/Times-Italic MF 3177 4091 M (j) [1]X 3072 4091 M (i) [1]X 2967 4091 M (h) [1]X 2755 4091 M (v) [1]X 2603 4091 M (j) [1]X 2469 4091 M (u) [1]X 2321 4091 M (i) [1]X 2216 4091 M (f) [1]X 1383 4021 M (v) [1]X 1275 4021 M (u) [1]X 1107 4021 M (C) [1]X [52 0 0 -52 0 0]/Times-Italic MF 2051 4113 M (V) [1]X 1963 4113 M (j) [1]X 1904 4113 M (i) [1]X n 1657 4869 M 3483 4869 L CM 0.348 0.23 scale s SM [89.777 0 0 -89.777 0 0]/Times-Roman MF 4269 4891 M (\)) [1]X 4206 4891 M (3) [1]X 4172 4891 M (.) [1]X 4105 4891 M (2) [1]X 4057 4891 M (\() [1]X 3421 5031 M (1) [1]X 3233 5031 M (|) [1]X 3167 5031 M (\)) [1]X 3051 5031 M (,) [1]X 2967 5031 M (\() [1]X 2734 5031 M (\)) [1]X 2438 5031 M (,) [1]X 2165 5031 M (\() [1]X 2020 5031 M (|) [1]X 2537 4835 M (1) [1]X 1477 4891 M (\)) [1]X 1369 4891 M (,) [1]X 1254 4891 M (\() [1]X [52.367 0 0 -52.367 0 0]/Times-Roman MF 1853 5117 M (\)) [1]X 1786 5117 M (,) [1]X 1729 5117 M (\() [1]X 1200 4914 M (3) [1]X [89.777 0 0 -89.777 0 0]/Symbol MF 3338 5031 M (+) [1]X 3264 5071 M (\367) [1]X 3264 5021 M (\367) [1]X 3264 5128 M (\370) [1]X 3264 4964 M (\366) [1]X 1662 5071 M (\347) [1]X 1662 5021 M (\347) [1]X 1662 5128 M (\350) [1]X 1662 4964 M (\346) [1]X 2801 5031 M (-) [1]X 2575 5031 M (+) [1]X 2272 5031 M (+) [1]X 1551 4891 M (=) [1]X [134.664 0 0 -134.664 0 0]/Symbol MF 1782 5052 M (\345) [1]X [52.367 0 0 -52.367 0 0]/Symbol MF 1873 5117 M (\316) [1]X [89.777 0 0 -89.777 0 0]/Times-Italic MF 3123 5031 M (j) [1]X 3011 5031 M (i) [1]X 2898 5031 M (h) [1]X 2671 5031 M (v) [1]X 2510 5031 M (j) [1]X 2366 5031 M (u) [1]X 2209 5031 M (i) [1]X 2096 5031 M (f) [1]X 1414 4891 M (v) [1]X 1298 4891 M (u) [1]X 1108 4891 M (C) [1]X [52.367 0 0 -52.367 0 0]/Times-Italic MF 1917 5117 M (V) [1]X 1823 5117 M (j) [1]X 1759 5117 M (i) [1]X showpage %%Page: 39 39 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (39) [50 1]X 792 582 M (a label image with the same size of the processed image, in which only the kept positions ) [44 27 28 44 50 44 28 27 28 78 45 49 44 27 72 28 28 50 27 28 50 44 27 39 45 78 44 27 39 28 45 44 27 50 33 27 28 50 44 27 50 33 50 44 44 39 39 44 50 28 28 78 44 49 44 25 27 28 50 27 72 50 28 44 50 27 50 50 30 48 27 28 50 45 27 50 44 50 28 27 50 50 39 28 28 28 50 50 39 1]X 792 812 M (are l) [44 33 44 42 1]X 983 812 M (abeled by their corresponding correlation values and the rest of the positions are ) [44 51 44 28 44 50 42 52 48 42 28 50 44 28 33 42 44 51 33 34 44 39 50 50 50 50 28 50 49 42 44 51 33 33 44 29 44 28 28 50 50 42 50 45 28 50 44 39 42 44 50 50 42 28 50 44 42 33 44 39 28 42 50 33 42 28 50 45 42 50 50 39 28 28 28 50 50 39 42 44 33 44 1]X 792 1042 M (marked as zeros. Because of the spatial continuity of matching results, it is easy to ) [78 44 33 50 44 50 47 44 39 47 45 44 33 50 39 25 48 66 44 45 44 51 39 44 47 50 33 47 28 50 44 47 39 50 44 28 28 44 28 47 44 50 50 28 28 50 50 28 29 47 47 51 33 47 78 44 28 44 50 28 51 49 47 33 44 39 50 28 28 40 25 47 28 28 47 28 39 47 44 44 40 48 47 28 50 1]X 792 1272 M (observe that there are several clusters existed in the label image. Among these cluster) [50 50 39 44 33 50 44 34 28 50 44 29 34 28 50 44 33 45 34 44 34 44 34 39 45 50 44 33 44 28 35 44 28 50 39 28 44 33 39 34 44 51 28 39 28 44 50 34 28 50 35 28 50 44 34 28 44 50 44 28 34 28 78 45 49 44 26 34 72 78 50 51 49 35 28 50 44 39 44 34 44 28 50 39 28 44 1]X 4327 1272 M (s, ) [39 26 1]X 792 1502 M (we are only interested in the position with the maximal correlation value in each cluster. ) [72 44 30 44 34 44 30 50 50 30 48 30 28 50 28 44 33 44 39 28 44 50 30 28 51 30 28 50 44 30 50 50 39 28 28 28 50 50 30 72 28 28 50 30 28 50 44 30 78 44 51 28 78 44 28 30 44 50 33 33 44 28 44 28 28 50 50 30 50 44 28 50 44 30 28 50 30 44 44 44 50 31 44 28 50 39 28 44 33 26 1]X 792 1732 M (One simple way to achieve it is to perform the Non) [72 50 44 36 39 28 78 50 28 44 36 73 46 48 36 28 50 37 44 44 50 29 44 50 44 36 28 28 36 28 39 36 28 50 36 51 44 33 33 51 33 78 36 28 50 44 37 72 50 1]X 2955 1732 M (-) [1]X 2988 1732 M (maximal suppression algorithm as ) [78 44 51 28 78 44 28 36 39 50 50 50 33 44 39 39 28 50 50 36 44 29 49 50 33 28 28 50 78 36 44 40 1]X 792 1962 M (described below:) [50 44 39 44 33 28 50 44 50 25 50 44 28 50 72 1]X 1471 1962 M ( ) [1]X 792 2242 M ( ) [1]X 1032 2407 M (Non) [72 50 1]X 1204 2407 M (-) [1]X 1237 2407 M (Maximal Suppression algorithm) [89 44 51 28 78 44 28 25 56 50 50 50 33 44 39 39 28 50 50 25 44 28 49 50 33 28 28 50 1]X 2526 2407 M ( ) [1]X [92 0 0 -92 0 0]/Times-Italic MF 912 2680 M (1.) [46 1]X 981 2680 M ( ) [1]X 1092 2680 M (For each pixel with non) [56 46 36 52 41 46 41 46 52 46 25 41 40 26 52 61 26 26 46 52 46 46 1]X 2086 2680 M (-) [1]X 2117 2680 M (zero correlation value in the label image, inspect its 8) [36 41 35 46 52 41 46 36 35 41 26 45 26 25 46 46 52 41 46 25 46 41 52 25 46 52 26 46 41 52 26 46 45 41 26 52 26 66 46 45 41 23 52 26 45 36 46 40 41 26 52 25 26 36 52 1]X 4363 2680 M (-) [1]X 1092 2838 M (connectivity.) [41 46 46 46 41 41 26 26 41 26 26 41 1]X 1562 2838 M ( ) [1]X 912 3029 M (2.) [46 1]X 981 3029 M ( ) [1]X 1092 3029 M (If the correlation value in one of its 8) [31 26 45 26 46 40 46 41 45 36 36 40 26 45 26 26 46 45 46 41 45 26 46 40 46 25 46 46 46 46 40 46 46 25 46 25 26 35 46 1]X 2644 3029 M (-) [1]X 2674 3029 M (connectivity exceeds that of the pixel under ) [41 46 46 46 40 41 25 26 40 26 25 41 46 41 40 41 41 41 45 36 45 26 46 45 26 46 45 26 45 26 46 40 46 46 25 40 41 26 46 45 46 46 41 34 1]X 1092 3188 M (inspection, mark the pixel for deletion) [26 46 36 46 41 41 26 26 46 46 23 23 66 46 36 41 23 26 46 41 23 46 26 41 41 26 23 26 46 36 23 46 41 26 41 26 26 46 1]X 2498 3188 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 912 3386 M (3.) [50 1]X 987 3386 M ( ) [1]X [92 0 0 -92 0 0]/Times-Italic MF 1092 3386 M (When all pixels have been inspected, rescan the label image) [75 46 41 46 27 46 26 26 27 46 26 41 40 26 36 27 46 45 41 41 27 46 40 41 46 26 26 46 36 46 40 41 25 41 46 23 27 36 40 36 41 46 46 26 26 46 41 26 26 46 46 40 26 26 26 66 46 46 1]X 3335 3386 M ( and erase all pixels marked ) [27 46 46 46 27 40 36 46 35 41 27 46 25 26 27 46 26 40 41 25 36 27 66 46 36 41 41 45 1]X 1092 3545 M (for deletion to zero.) [26 46 36 23 46 41 26 41 26 26 46 46 23 26 46 23 36 41 36 46 1]X [100 0 0 -100 0 0]/Times-Roman MF 1821 3545 M ( ) [1]X 792 3761 M ( ) [1]X 792 3932 M (The hypothesis used here is that: if a processed image contains the expected shape ) [61 50 44 49 51 48 50 50 28 50 44 39 28 39 49 50 39 44 50 49 50 45 33 44 49 28 39 49 28 50 44 28 28 49 28 33 49 44 49 50 33 50 44 44 39 39 45 50 49 28 78 44 49 44 49 44 50 50 29 44 28 50 39 49 28 50 44 49 44 51 50 44 44 28 44 50 49 39 50 44 50 45 1]X 792 4162 M (pattern, there will exist at least one correlation value which is greater than the pre) [50 44 28 28 44 33 50 25 26 28 50 44 33 44 26 72 28 28 28 26 44 51 28 39 28 26 44 27 26 28 44 44 39 28 26 50 50 44 26 44 50 33 33 44 28 44 28 28 50 50 26 50 44 29 50 44 26 72 50 28 44 50 26 28 39 26 49 33 45 44 28 44 33 26 28 50 44 50 26 29 50 44 26 50 33 1]X 4059 4162 M (-) [1]X 4092 4162 M (defined ) [50 45 33 28 50 44 50 1]X 792 4392 M (threshold. Otherwise, the) [28 50 33 44 39 50 50 28 50 25 25 72 28 50 44 33 72 28 39 44 25 25 28 50 1]X 1796 4392 M ( sub) [25 39 50 1]X 1960 4392 M (-) [1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 1993 4392 M (image doesn\222t contain the expected shape pattern. ) [28 78 44 49 44 25 50 50 44 39 50 33 28 25 44 50 50 28 44 28 50 25 28 50 44 25 44 51 50 44 44 28 44 50 25 39 50 44 50 44 25 50 44 28 28 44 33 50 25 1]X 4005 4392 M ( ) [1]X 792 4622 M ( ) [1]X [108 0 0 -108 0 0]/Times-BoldItalic MF 792 4863 M (Matching of the Semantic Graph ) [96 54 30 48 60 30 60 54 27 54 36 27 30 60 48 27 60 48 86 54 60 30 30 48 27 78 42 54 54 60 1]X 2291 4863 M ( ) [1]X [100 0 0 -100 0 0]/_Times-Roman MF 792 5102 M (Once a component object is found in the image, we may have one or more match ) [72 50 44 44 49 44 49 44 50 78 50 50 51 44 50 28 49 50 50 28 44 44 28 49 28 39 49 33 50 50 50 50 49 28 50 49 28 50 44 49 28 78 44 49 44 25 49 72 44 49 78 46 48 49 50 44 50 44 49 50 50 44 49 51 34 49 78 50 33 44 49 78 44 28 44 50 1]X 792 5331 M (positions for each component object, which are called candidate positions. To decide the ) [50 50 39 28 28 28 50 50 39 30 33 50 33 30 44 44 44 50 30 44 50 78 50 50 50 44 50 28 30 50 50 28 44 44 28 25 30 72 50 28 44 50 30 44 33 44 30 45 45 28 28 44 50 30 44 44 50 50 28 50 44 28 44 30 50 50 39 28 28 28 50 50 39 25 30 61 50 30 50 44 44 28 50 44 30 28 50 44 1]X 792 5561 M (f) [1]X 825 5561 M (inal answer from them, it is necessary to consider the candidate positions from all ) [28 50 44 28 48 44 50 39 72 45 33 48 33 33 50 78 48 28 51 44 78 25 48 28 28 48 28 39 48 50 44 44 44 39 39 44 35 48 48 28 51 48 44 50 51 39 28 50 44 33 48 28 50 44 48 45 44 50 50 28 50 44 28 44 48 50 50 39 29 28 28 50 50 39 48 33 33 50 78 48 44 28 28 1]X 792 5791 M (component objects together. Thus we construct a set of combination graphs based on all) [44 50 78 50 50 50 44 50 28 25 50 50 28 44 44 28 39 25 28 50 49 44 28 50 44 33 25 25 61 50 50 39 25 72 44 25 44 50 50 39 28 33 50 44 28 25 44 25 39 44 28 25 50 33 25 44 50 78 50 28 50 44 28 28 50 50 25 49 33 44 50 50 39 25 50 44 39 44 50 25 50 50 25 44 28 1]X 4307 5791 M ( ) [1]X 1 j 12 sl n 867 2199 M 4392 2199 L CM [1 0 0 1 -108 -108] concat s SM 1 setlinecap 4 sl n 860 2482 M 4392 2482 L CM [1 0 0 1 -108 -108] concat s SM 0 setlinecap 8 sl n 912 3667 M 4512 3667 L CM [1 0 0 1 -108 -108] concat s SM showpage %%Page: 40 40 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (40) [50 1]X 792 582 M ( ) [1]X 792 812 M ( ) [1]X 792 1142 M ( ) [1]X 792 1472 M ( ) [1]X 792 1802 M ( ) [1]X 792 2032 M (candidate positions. Since the semantic graph attribute stores the spatial r) [44 44 50 50 28 50 44 28 44 25 50 50 39 28 28 28 50 50 39 25 25 56 28 50 44 44 25 28 50 44 25 39 44 78 44 50 28 28 44 25 49 33 44 50 50 25 44 28 28 33 28 50 50 28 44 25 39 28 50 33 44 39 25 28 50 44 25 39 50 44 28 28 44 28 25 1]X 3718 2032 M (elations among) [44 28 44 28 28 50 50 39 25 44 78 50 50 1]X 4325 2032 M ( ) [1]X 792 2262 M (all component objects defined in the knowledge model, we will use this attribute to ) [44 28 28 46 44 50 78 50 50 50 44 50 28 46 50 50 28 44 44 28 39 46 51 44 33 28 50 44 50 46 28 50 46 28 50 44 46 50 50 50 72 28 44 51 50 44 46 78 50 50 44 28 25 46 72 44 46 72 28 28 28 46 50 39 44 46 29 50 28 39 46 44 28 28 33 28 50 50 28 44 46 28 49 1]X 792 2492 M (evaluate the combination graphs and reject those graphs with the high degree of ) [44 50 44 28 50 44 28 44 59 28 50 44 59 44 50 78 50 28 50 44 28 28 51 50 59 49 34 44 50 50 39 59 44 50 50 59 33 44 29 44 44 28 59 28 50 50 39 44 59 50 33 44 50 50 39 59 72 28 28 50 59 28 50 44 59 50 28 49 50 59 50 45 50 33 44 44 59 51 34 1]X 792 2722 M (distortion. Here, a flexible spatial relationship matching algorithm is emplo) [50 28 39 28 50 33 28 28 50 50 25 53 72 44 33 44 25 53 44 54 33 28 44 51 28 50 28 44 53 39 50 44 28 28 44 28 53 33 44 28 44 28 28 50 50 39 50 28 50 54 78 44 28 44 50 28 50 49 54 44 28 49 51 33 28 28 50 78 53 28 39 53 44 78 50 28 1]X 4060 2722 M (yed. To ) [48 44 50 26 53 61 50 1]X 792 2952 M (explicate the match procedure, we use the spatial relation of pelvis model as an example. ) [44 51 50 28 28 44 44 28 44 28 28 50 44 28 78 44 28 44 50 28 51 33 50 45 44 50 50 33 44 25 29 72 44 28 50 40 44 28 28 50 44 28 39 51 44 28 28 44 28 29 33 44 28 44 28 28 50 50 28 50 33 28 51 44 28 50 28 39 28 78 50 50 44 28 29 44 39 28 44 50 29 44 51 44 78 50 28 44 24 1]X 792 3182 M (In Fig. 2) [32 51 29 55 29 49 25 29 1]X 1141 3182 M (-) [1]X 1174 3182 M (3, each dot represents the position of a component object. The whole algorithm ) [50 26 29 45 44 44 50 29 50 50 28 29 34 44 50 34 44 39 44 50 28 39 29 28 50 44 29 50 50 39 28 28 28 50 50 29 50 33 29 45 29 45 50 78 50 50 50 44 50 28 29 50 50 28 44 44 28 25 29 61 50 45 29 73 50 50 28 44 29 44 29 49 50 33 28 28 50 78 1]X 792 3412 M (is explained below:) [28 39 25 44 51 50 28 44 28 50 44 50 25 50 44 28 50 72 1]X 1570 3412 M ( ) [1]X 792 3642 M ( ) [1]X 972 3807 M (Semantic Graph Match Algorithm) [56 44 78 44 50 28 28 44 25 72 33 44 50 50 25 89 44 28 44 50 25 72 28 49 50 33 28 28 50 1]X 2339 3807 M ( ) [1]X [92 0 0 -92 0 0]/Times-Italic MF 972 4080 M (1.) [46 1]X 1041 4080 M ( ) [1]X 1092 4080 M (Relax the seman) [56 41 26 46 41 36 26 46 40 37 36 41 66 46 1]X 1721 4080 M (tic graph constraint by defining a similarity area which is the region ) [26 25 41 37 46 35 46 46 46 36 41 46 46 36 25 36 45 26 46 26 36 46 41 37 46 40 26 25 46 26 45 46 37 46 37 35 25 66 26 26 46 35 26 25 41 37 46 35 41 46 37 61 45 26 41 46 36 26 36 36 26 46 40 37 36 41 46 25 46 45 1]X 1092 4238 M (enclosed by a circle around the location of each component object, as shown in Fig 2) [41 46 41 26 45 36 41 46 31 46 41 32 45 32 41 25 36 40 26 41 32 45 36 46 46 45 46 32 26 46 40 32 26 45 41 46 25 26 46 46 31 46 26 31 41 46 41 46 31 41 46 65 46 46 46 41 46 25 32 46 45 26 41 40 26 23 32 46 35 32 36 46 46 61 45 32 26 45 32 56 26 46 32 1]X 4362 4238 M (-) [1]X 1092 4396 M (3.\(b\)) [46 23 30 46 1]X 1267 4396 M ( ) [1]X 972 4587 M (2.) [46 1]X 1041 4587 M ( ) [1]X 1092 4587 M (Select one combination graph and match its candidate positions with the related ) [46 41 26 40 41 26 54 46 46 41 54 41 46 66 46 25 46 46 25 26 46 46 54 45 36 46 46 46 55 46 45 46 55 66 46 25 41 46 54 26 25 36 55 41 45 46 45 26 46 46 25 41 55 46 45 36 25 26 26 45 46 36 55 60 26 26 45 55 26 45 41 54 36 41 26 45 26 41 45 1]X 1092 4746 M (component obje) [41 46 66 46 46 46 41 46 26 23 46 46 26 1]X 1678 4746 M (cts in the semantic graph.) [41 26 36 23 26 46 23 26 46 41 23 36 41 66 46 46 26 26 41 23 46 36 46 46 46 1]X 2629 4746 M ( ) [1]X 972 4937 M (3.) [46 1]X 1041 4937 M ( ) [1]X 1092 4937 M (If all component objects in the semantic graph have found their corresponding candidate ) [31 26 25 46 25 26 25 41 46 66 46 46 46 41 45 26 25 46 46 25 41 41 25 36 25 26 46 25 26 46 41 25 36 41 66 46 45 26 25 41 26 45 36 46 46 45 26 46 46 40 41 25 26 45 46 46 46 25 26 46 40 26 36 25 41 46 36 35 41 36 46 45 46 46 26 45 46 26 40 45 46 46 26 46 45 26 40 1]X 1092 5095 M (positions in the combination graph, go to step 4, otherwise reject the combination graph.) [46 46 36 26 26 26 46 46 36 23 26 46 23 26 46 41 23 41 46 66 46 26 46 46 26 26 46 46 23 46 36 46 46 46 23 23 46 46 23 26 46 23 36 26 41 46 23 46 23 23 46 26 46 41 36 61 26 36 41 23 36 41 26 41 41 26 23 26 46 41 23 41 46 66 46 26 46 46 26 26 46 46 23 46 36 46 46 46 1]X 4383 5095 M ( ) [1]X 972 5287 M (4.) [46 1]X 1041 5287 M ( ) [1]X 1092 5287 M (For each component object, check its corresponding ) [56 46 36 67 41 46 41 46 66 41 46 66 46 46 46 40 46 26 67 46 45 26 41 40 26 23 67 41 45 41 41 41 66 26 26 36 66 41 46 35 36 41 36 45 46 45 46 26 46 46 1]X 3352 5287 M (candidate position in the ) [41 45 46 46 26 45 46 26 41 66 46 46 35 26 25 26 46 46 66 26 46 67 26 45 40 1]X 1092 5445 M (combination graph.) [41 46 66 46 26 46 46 26 26 46 46 23 46 36 46 46 46 1]X 1819 5445 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 972 5644 M (5.) [50 1]X 1047 5644 M ( ) [1]X 1092 5644 M (If one of candidate positions lies outside of the related similarity area in the ) [32 33 47 50 51 44 47 50 33 47 44 44 50 50 28 50 44 28 44 47 50 50 40 28 28 28 50 50 39 47 28 28 44 38 47 50 50 28 39 28 50 44 47 50 33 47 28 49 44 47 33 44 28 44 28 44 50 47 39 28 78 28 28 44 33 28 29 48 47 44 34 44 45 47 28 50 47 28 50 43 1]X 1092 5817 M (relaxed semantic graph, reject the combination graph, otherwise keep it.) [33 44 28 44 51 44 50 25 39 44 78 44 50 28 28 44 25 49 33 44 50 50 25 25 33 44 28 44 44 28 25 28 50 44 25 44 50 78 50 28 50 44 28 28 50 50 25 49 33 44 50 50 25 25 50 28 50 44 33 72 28 39 44 25 50 44 44 50 25 28 28 1]X 3968 5817 M ( ) [1]X 1 j 17 sl n 912 3602 M 4392 3602 L CM [1 0 0 1 -108 -108] concat s SM 1 setlinecap 4 sl n 912 3894 M 4392 3894 L CM [1 0 0 1 -108 -108] concat s SM n 852 5895 M 4404 5897 L CM [1 0 0 1 -108 -108] concat s SM 1452 672 M ( ) [1]X 0 j 2 setlinecap n 1835 812 M 1815 819 L 1807 823 L 1798 827 L 1790 831 L 1784 837 L 1781 843 L 1777 852 L 1777 856 L 1777 862 L 1778 874 L 1781 887 L 1785 901 L 1790 916 L 1797 929 L 1802 940 L 1807 945 L 1810 949 L 1818 956 L 1827 963 L 1837 968 L 1848 973 L 1859 976 L 1871 979 L 1882 979 L 1893 979 L 1903 979 L 1914 977 L 1925 973 L 1936 968 L 1947 964 L 1956 957 L 1965 951 L 1973 945 L 1979 938 L 1985 932 L 1989 923 L 1992 916 L 1995 907 L 1998 899 L 2002 883 L 2003 867 L 2003 859 L 2002 851 L 2002 843 L 1999 837 L 1995 831 L 1991 825 L 1985 821 L 1977 818 L 1968 815 L 1959 812 L 1948 811 L 1937 810 L 1914 809 L CM [1 0 0 1 1452 582] concat s SM gs n 292 285 1516 582 CB n 1762 739 M 1757 718 L 1750 699 L 1747 689 L 1742 681 L 1737 672 L 1730 665 L 1723 658 L 1715 652 L 1706 647 L 1697 641 L 1678 632 L 1658 627 L 1648 624 L 1637 622 L 1626 620 L 1615 620 L 1604 620 L 1594 620 L 1586 623 L 1579 627 L 1573 631 L 1569 637 L 1567 644 L 1564 651 L 1563 660 L 1563 669 L 1562 677 L 1561 684 L 1561 700 L 1563 717 L 1566 733 L 1568 740 L 1571 747 L 1576 752 L 1580 757 L 1586 761 L 1592 765 L 1597 769 L 1603 773 L 1607 777 L 1611 782 L 1614 786 L 1617 792 L 1620 800 L 1624 810 L 1626 821 L CM [1 0 0 1 1452 582] concat s SM gr n 2008 774 M 2010 756 L 2011 748 L 2013 739 L 2014 731 L 2017 723 L 2021 715 L 2027 708 L 2033 700 L 2042 694 L 2051 687 L 2062 681 L 2071 674 L 2082 669 L 2092 666 L 2102 662 L 2113 658 L 2122 654 L 2133 652 L 2143 651 L 2153 650 L 2162 650 L 2171 651 L 2178 654 L 2184 658 L 2190 664 L 2194 672 L 2199 680 L 2201 688 L 2205 698 L 2206 707 L 2207 715 L 2207 724 L 2207 733 L 2206 742 L 2205 753 L 2201 762 L 2199 771 L 2196 779 L 2193 785 L 2188 792 L 2184 795 L 2179 799 L 2172 801 L 2161 807 L 2157 809 L 2153 812 L 2147 821 L 2143 830 L 2140 839 L 2139 849 L CM [1 0 0 1 1452 582] concat s SM n 1615 945 M 1607 952 L 1601 959 L 1594 965 L 1589 972 L 1588 976 L 1586 979 L 1584 989 L 1583 993 L 1582 996 L 1580 999 L 1579 999 L 1577 999 L 1573 996 L 1570 993 L 1567 988 L 1564 984 L 1560 981 L 1557 979 L 1555 979 L 1554 979 L 1550 984 L 1546 988 L 1542 995 L 1539 1002 L 1536 1011 L 1532 1018 L 1530 1025 L 1528 1031 L 1527 1035 L 1527 1040 L 1528 1047 L 1531 1054 L 1536 1062 L 1539 1066 L 1542 1070 L 1550 1080 L 1554 1084 L 1558 1089 L 1562 1095 L 1564 1101 L 1565 1108 L 1567 1114 L 1567 1130 L 1566 1146 L 1564 1164 L CM [1 0 0 1 1452 582] concat s SM n 1654 1034 M 1647 1042 L 1640 1047 L 1634 1054 L 1629 1062 L 1626 1069 L 1623 1076 L 1621 1080 L 1620 1085 L 1620 1090 L 1618 1097 L 1617 1105 L 1617 1114 L 1616 1123 L 1615 1134 L 1613 1156 L 1611 1179 L CM [1 0 0 1 1452 582] concat s SM n 2146 961 M 2153 966 L 2160 972 L 2167 978 L 2171 984 L 2172 987 L 2173 991 L 2174 1000 L 2174 1004 L 2174 1008 L 2176 1011 L 2178 1012 L 2181 1011 L 2184 1008 L 2187 1005 L 2191 1001 L 2196 997 L 2199 994 L 2204 991 L 2207 991 L 2211 994 L 2214 998 L 2219 1002 L 2223 1008 L 2232 1020 L 2233 1026 L 2236 1031 L 2239 1041 L 2241 1050 L 2241 1057 L 2240 1062 L 2239 1066 L 2237 1069 L 2234 1073 L 2232 1076 L 2226 1078 L 2222 1082 L 2218 1086 L 2214 1091 L 2211 1097 L 2209 1105 L 2206 1113 L 2205 1123 L 2202 1133 L 2199 1155 L 2196 1179 L CM [1 0 0 1 1452 582] concat s SM n 2114 1046 M 2121 1050 L 2127 1054 L 2129 1057 L 2134 1061 L 2137 1066 L 2140 1073 L 2142 1082 L 2144 1091 L 2145 1102 L 2146 1117 L 2146 1130 L 2147 1145 L 2147 1161 L 2146 1194 L CM [1 0 0 1 1452 582] concat s SM 8 sl n 1674 719 M 1674 711 1666 705 1656 705 c 1646 705 1639 711 1639 719 c 1639 727 1646 734 1656 734 c 1666 734 1674 727 1674 719 c cp gs 0.199 g e gr CM [1 0 0 1 1452 582] concat s SM n 2140 736 M 2140 728 2132 722 2122 722 c 2112 722 2105 728 2105 736 c 2105 744 2112 751 2122 751 c 2132 751 2140 744 2140 736 c cp gs 0.199 g e gr CM [1 0 0 1 1452 582] concat s SM n 1907 888 M 1907 880 1899 874 1889 874 c 1879 874 1872 880 1872 888 c 1872 896 1879 903 1889 903 c 1899 903 1907 896 1907 888 c cp gs 0.199 g e gr CM [1 0 0 1 1452 582] concat s SM n 1610 1045 M 1610 1037 1602 1031 1592 1031 c 1582 1031 1575 1037 1575 1045 c 1575 1053 1582 1060 1592 1060 c 1602 1060 1610 1053 1610 1045 c cp gs 0.199 g e gr CM [1 0 0 1 1452 582] concat s SM n 2199 1063 M 2199 1055 2191 1049 2181 1049 c 2171 1049 2164 1055 2164 1063 c 2164 1071 2171 1078 2181 1078 c 2191 1078 2199 1071 2199 1063 c cp gs 0.199 g e gr CM [1 0 0 1 1452 582] concat s SM [85.5 0 0 -85.5 0 0]/Times-Roman MF 2892 718 M ( ) [1]X [106.875 0 0 -106.875 0 0]/Times-Roman MF gs n 27 105 2896 644 CB 2896 723 M ( ) [1]X gr [85.5 0 0 -85.5 0 0]/Times-Roman MF 2923 722 M ( ) [1]X gs n 248 234 2892 642 CB 9 sl n 3067 726 M 3067 684 3028 650 2981 650 c 2933 650 2895 684 2895 726 c 2895 768 2933 803 2981 803 c 3028 803 3067 768 3067 726 c cp CM 0.852 0.852 scale s SM gr gs n 247 227 3305 642 CB 9 sl n 3549 720 M 3549 678 3510 645 3463 645 c 3415 645 3377 678 3377 720 c 3377 762 3415 796 3463 796 c 3510 796 3549 762 3549 720 c cp CM 0.852 0.852 scale s SM gr 9 sl n 3306 945 M 3306 903 3267 869 3220 869 c 3173 869 3135 903 3135 945 c 3135 987 3173 1022 3220 1022 c 3267 1022 3306 987 3306 945 c cp CM 0.852 0.852 scale s SM gs n 310 232 2892 1040 CB n 3129 1188 M 3129 1146 3090 1112 3043 1112 c 2996 1112 2958 1146 2958 1188 c 2958 1230 2996 1265 3043 1265 c 3090 1265 3129 1230 3129 1188 c cp CM 0.852 0.852 scale s SM gr gs n 302 225 3250 1047 CB n 3494 1194 M 3494 1152 3455 1119 3408 1119 c 3360 1119 3322 1152 3322 1194 c 3322 1235 3360 1269 3408 1269 c 3455 1269 3494 1235 3494 1194 c cp CM 0.852 0.852 scale s SM gr 6 sl n 3001 722 M 3001 711 2993 702 2984 702 c 2974 702 2967 711 2967 722 c 2967 733 2974 742 2984 742 c 2993 742 3001 733 3001 722 c cp gs 0.199 g e gr CM 0.852 0.852 scale s SM n 3478 722 M 3478 711 3470 702 3461 702 c 3451 702 3444 711 3444 722 c 3444 733 3451 742 3461 742 c 3470 742 3478 733 3478 722 c cp gs 0.199 g e gr CM 0.852 0.852 scale s SM n 3239 946 M 3239 935 3231 927 3222 927 c 3212 927 3205 935 3205 946 c 3205 957 3212 966 3222 966 c 3231 966 3239 957 3239 946 c cp gs 0.199 g e gr CM 0.852 0.852 scale s SM n 3056 1190 M 3056 1179 3048 1170 3038 1170 c 3028 1170 3021 1179 3021 1190 c 3021 1201 3028 1210 3038 1210 c 3048 1210 3056 1201 3056 1190 c cp gs 0.199 g e gr CM 0.852 0.852 scale s SM n 3423 1196 M 3423 1185 3415 1176 3406 1176 c 3396 1176 3389 1185 3389 1196 c 3389 1207 3396 1216 3406 1216 c 3415 1216 3423 1207 3423 1196 c cp gs 0.199 g e gr CM 0.852 0.852 scale s SM [92 0 0 -92 0 0]/Times-Roman MF 1272 1572 M (Fig 2) [51 26 45 23 1]X 1463 1572 M (-) [1]X 1492 1572 M (3: ) [46 26 23 1]X [100 0 0 -100 0 0]/Times-Roman MF 1610 1572 M (Illustration of matching the spatial relations using the pelvis model) [31 28 28 50 39 28 33 44 28 28 50 50 25 50 33 25 78 44 28 44 50 28 50 49 25 28 50 44 25 39 50 44 28 28 44 28 25 33 44 28 44 28 28 50 50 39 25 50 39 28 50 49 25 28 50 44 25 50 44 28 50 28 39 25 78 50 50 44 1]X [92 0 0 -92 0 0]/Times-Roman MF 4280 1572 M ( ) [1]X 4303 1572 M ( ) [1]X 1597 1680 M (\(a\)) [31 41 1]X 1699 1680 M ( ) [1]X 1772 1680 M (The semantic graph of the pelvis mo) [57 46 41 23 36 41 70 41 46 26 26 41 23 45 31 41 46 46 23 46 31 23 26 46 41 23 46 41 26 45 26 36 23 70 1]X 3116 1680 M (del) [46 41 1]X 3229 1680 M ( ) [1]X 1597 1787 M (\(b\)) [31 46 1]X 1704 1787 M ( ) [1]X 1772 1787 M ( The spatial relation constraint in the pelvis model) [23 57 46 41 23 36 46 41 26 26 41 26 23 31 41 26 41 26 26 46 46 23 41 46 46 36 26 31 41 26 46 26 23 26 46 23 26 46 41 23 46 41 26 45 26 36 23 70 46 46 41 1]X 3624 1787 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1932 1395 M (\(a\)) [33 44 1]X 2042 1395 M ( ) [1]X 2232 1395 M ( ) [1]X 2532 1395 M ( ) [1]X 2832 1395 M ( ) [1]X 3132 1395 M ( \(b\)) [25 25 25 25 33 50 1]X 3348 1395 M ( ) [1]X showpage %%Page: 41 41 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (41) [50 1]X [117 0 0 -117 0 0]/Times-Bold MF 792 600 M (Inference Engine) [46 65 39 52 52 52 65 52 52 29 78 65 59 33 65 1]X 1648 600 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 859 M (As mentioned in the previous section, i) [72 39 42 78 44 50 28 28 50 50 44 50 42 28 50 42 28 50 44 42 51 34 44 50 28 50 50 39 42 39 44 44 28 28 50 50 25 42 1]X 2459 859 M (mage understanding is an inherently uncertain ) [78 45 49 44 42 51 50 50 44 33 39 28 44 50 50 28 51 49 42 28 39 42 44 50 42 28 50 51 44 34 44 50 28 29 48 42 50 51 44 44 33 28 44 28 51 1]X 792 1089 M (activity. In this research, we do not expect to get a perfect shape contour or an exact ) [44 44 28 28 50 28 29 48 25 41 32 50 40 28 50 28 39 40 33 44 40 44 44 34 44 51 25 40 72 44 40 50 50 40 50 50 28 40 44 51 50 44 44 28 40 28 50 40 50 44 28 40 44 40 50 44 34 33 44 44 28 40 39 50 45 50 44 40 44 50 50 28 51 50 33 40 50 33 40 44 50 40 44 51 44 44 29 1]X 792 1319 M (position of the ambiguous object at the first detection step. Instead, we prefer to keep ) [50 50 39 28 28 28 50 50 39 50 33 39 28 50 44 39 44 78 50 28 49 50 51 50 39 39 50 50 28 44 44 28 39 44 28 39 28 50 44 39 33 28 33 39 28 39 50 44 29 44 44 28 28 50 50 39 39 28 44 50 25 40 32 50 39 28 44 44 50 25 39 73 44 40 50 33 44 33 45 33 39 28 50 39 50 44 44 50 1]X 792 1549 M (some most possible candidates and) [39 50 78 44 36 78 50 39 28 36 50 50 39 39 28 50 28 44 36 44 44 51 50 28 50 44 28 44 39 36 44 50 1]X 2236 1549 M ( desire to filter them after combining all component ) [36 50 44 39 28 34 44 36 28 50 36 33 28 28 29 44 33 36 28 50 44 78 36 45 33 28 44 33 37 44 50 78 50 28 50 28 50 50 36 44 28 28 36 44 50 78 50 50 50 44 50 28 1]X /IsChar{exch/CharStrings get exch known}bd/MapCh{3 -1 roll/Encoding get 3 1 roll put}bd/MapDegree{dup 16#b0 exch/degree IsChar{/degree}{/ring}ifelse MapCh} bd/MapBB{dup 16#a6 exch/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd /reencode{findfont begin currentdict dup length dict begin{1 index/FID ne{def} {pop pop}ifelse}forall/FontName exch def dup length 0 ne{/Encoding Encoding 256 array copy def 0 exch{dup type/nametype eq{Encoding 2 index 2 index put pop 1 add}{exch pop}ifelse}forall}if pop currentdict dup end end/FontName get exch definefont dup MapDegree MapBB}bd/LATENC[0/grave/acute/circumflex/tilde/macron /breve/dotaccent/dieresis/ring/cedilla/hungarumlaut/ogonek/caron/dotlessi/fi/fl /Lslash/lslash/Zcaron/zcaron/minus/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/space/exclam/quotedbl /numbersign/dollar/percent/ampersand/quotesingle/parenleft/parenright/asterisk /plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight /nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M /N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum /underscore/grave/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft /bar/braceright/asciitilde/.notdef/euro/.notdef/quotesinglbase/florin /quotedblbase/ellipsis/dagger/daggerdbl/circumflex/perthousand/Scaron /guilsinglleft/OE/.notdef/Zcaron/.notdef/.notdef/quoteleft/quoteright /quotedblleft/quotedblright/bullet/endash/emdash/tilde/trademark/scaron /guilsinglright/oe/.notdef/zcaron/Ydieresis/.notdef/exclamdown/cent/sterling /currency/yen/brokenbar/section/dieresis/copyright/ordfeminine/guillemotleft /logicalnot/hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown/Agrave/Aacute /Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla/Egrave/Eacute/Ecircumflex /Edieresis/Igrave/Iacute/Icircumflex/Idieresis/Eth/Ntilde/Ograve/Oacute /Ocircumflex/Otilde/Odieresis/multiply/Oslash/Ugrave/Uacute/Ucircumflex /Udieresis/Yacute/Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave/iacute /icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex/otilde/odieresis /divide/oslash/ugrave/uacute/ucircumflex/udieresis/yacute/thorn/ydieresis]def LATENC /_Times-Roman /Times-Roman reencode [100 0 0 -100 0 0]/_Times-Roman MF 792 1779 M (objects\222 candidates together, as it is more useful to get some imprecise results \(maybe ) [50 50 28 44 44 28 39 33 38 44 44 50 50 28 50 44 29 44 39 38 28 50 50 44 28 50 44 33 25 38 44 39 38 28 28 38 28 39 38 78 50 33 44 38 50 39 44 33 50 29 38 28 50 38 49 44 28 38 39 50 78 44 38 28 78 50 33 44 44 28 39 44 39 34 44 39 50 28 28 39 38 33 78 45 48 51 44 1]X 792 2009 M (include several contours or positions but with at least one correct\) than an uncertain result ) [28 50 44 28 50 50 44 25 39 44 51 44 33 44 28 26 44 50 50 28 50 50 33 39 26 50 33 25 50 50 39 28 28 28 50 50 39 25 50 50 28 25 72 28 28 50 25 44 29 25 28 45 44 39 28 25 50 50 44 26 44 50 33 34 44 44 28 34 25 28 50 44 50 26 44 50 25 51 50 44 44 33 28 44 28 51 25 33 44 39 50 28 29 1]X 792 2239 M (\(only one contour or ) [33 50 50 29 48 27 50 50 44 27 44 50 50 28 50 50 33 27 51 33 1]X 1643 2239 M (position but may not be correct\). Thus, the inference engine must be ) [50 50 39 28 28 28 50 50 27 50 50 28 27 78 45 47 27 50 50 28 27 50 44 27 44 50 33 34 45 44 28 33 25 27 61 50 50 39 25 27 28 50 44 27 28 50 33 44 33 44 50 45 44 27 45 50 49 28 50 44 27 78 50 39 28 27 50 44 1]X 792 2469 M (capable of handling uncertainty at various levels of representation. Corresponding to the ) [44 44 50 44 50 28 45 31 50 33 31 50 44 50 50 28 28 51 49 31 50 51 44 45 33 28 44 28 50 29 48 32 44 28 31 50 44 33 28 50 50 39 31 28 44 51 44 28 39 32 50 33 31 33 44 50 34 44 39 44 50 28 44 28 28 50 50 25 31 67 50 33 34 44 40 50 50 50 50 28 50 49 31 28 50 31 28 50 44 1]X 792 2698 M (characteristics of these levels, different scoring techniques have to be adopted. ) [44 50 44 33 44 44 28 44 33 28 39 28 28 44 39 25 50 33 25 28 50 44 39 44 25 28 44 50 44 28 39 25 25 50 28 33 33 44 33 44 50 28 25 39 44 50 33 28 50 49 25 28 44 44 50 50 28 50 50 44 39 25 50 44 50 44 25 28 50 25 50 44 25 44 50 50 50 28 44 50 25 1]X 3947 2698 M ( ) [1]X 792 2928 M ( ) [1]X [100 0 0 -100 0 0]/Times-BoldItalic MF 792 3045 M (Scoring of In) [56 44 50 39 28 56 50 25 50 33 25 39 1]X 1343 3045 M (itial Segmentation Results) [28 28 28 50 28 25 56 44 50 79 44 56 28 50 28 28 50 56 25 67 44 39 56 28 28 1]X 2425 3045 M ( ) [1]X [100 0 0 -100 0 0]/_Times-Roman MF 792 3273 M (The problem of scoring the initial segmentation results is to determine a measure of the ) [61 50 44 33 50 33 50 50 28 44 78 33 50 33 33 39 44 50 33 28 50 49 34 28 50 44 33 28 50 28 28 28 44 28 33 39 44 49 78 44 50 28 44 28 28 50 50 33 33 44 39 50 28 28 39 33 28 39 33 28 49 33 50 44 28 44 33 78 28 50 44 33 44 33 78 44 44 39 50 33 44 33 50 33 33 28 50 44 1]X 792 3503 M (precision of the attributes from initial segmentation. As mentioned before, fuzzy logic ) [50 33 44 44 28 39 28 50 50 39 50 34 39 28 50 45 39 44 28 28 33 28 50 50 28 44 39 39 33 33 50 79 39 28 50 28 28 28 44 28 39 39 45 49 78 44 50 28 45 28 28 50 50 25 39 72 39 39 78 44 50 28 28 50 50 44 50 39 51 44 33 51 33 44 25 39 33 50 45 46 48 40 28 51 49 28 45 1]X 792 3733 M (approach is a fundamental and theoretically well) [44 50 50 33 50 44 44 50 55 28 39 55 44 55 33 50 50 50 44 78 45 50 28 44 28 55 44 50 50 55 28 50 44 50 33 44 28 28 44 44 28 29 48 56 72 44 28 1]X 2913 3733 M (-) [1]X 2946 3733 M (fou) [33 50 1]X 3079 3733 M (nded approach to measure the ) [50 50 44 50 55 44 50 50 33 51 44 44 50 56 28 50 55 78 44 44 39 50 33 44 55 28 50 44 1]X 792 3963 M (quality of results. It describes an attribute value into imprecise linguistic variables, fuzzy ) [50 50 44 28 28 29 48 29 50 34 29 33 44 39 50 28 28 39 25 30 32 28 29 51 44 39 45 33 28 50 44 39 29 44 50 30 44 28 28 33 28 50 50 28 44 29 50 44 28 50 45 29 28 50 28 50 29 28 78 50 33 44 44 28 39 44 29 28 28 51 49 50 28 39 28 28 44 30 50 44 33 28 44 50 28 44 39 25 30 33 50 45 46 48 1]X 792 4193 M (subsets in the fuzzy theory, and denotes an appropriate degree of membership that the ) [39 50 50 39 44 28 39 38 28 50 38 28 50 44 38 33 50 45 46 47 38 28 50 45 50 34 48 25 39 44 50 50 38 50 44 50 50 28 44 39 38 44 50 39 44 50 51 33 50 50 33 28 44 28 44 38 50 45 50 33 44 44 38 51 33 38 78 44 78 50 44 33 39 50 28 50 38 28 50 44 28 38 28 50 44 1]X 792 4423 M (attribute might belong to each fuzzy subset. ) [44 28 28 33 28 50 50 28 44 25 78 28 49 50 28 25 50 44 28 50 50 49 25 28 50 25 44 44 44 50 25 33 50 45 45 47 25 39 50 50 39 44 28 25 1]X 2559 4423 M ( ) [1]X 792 4653 M ( ) [1]X 972 4653 M (The definition of fuzzy set 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[100 0 0 -100 0 0]/Times-Italic MF 2981 5373 M (x) [1]X [100 0 0 -100 0 0]/_Times-Roman MF 3025 5373 M ( in ) [25 28 50 1]X [100 0 0 -100 0 0]/Times-Italic MF 3153 5373 M (S) [1]X [100 0 0 -100 0 0]/_Times-Roman MF 3203 5373 M (. Fig 2) [26 25 55 29 49 25 1]X 3463 5373 M (-) [1]X 3496 5373 M (4 shows the fuzzy sets ) [50 25 39 50 50 73 39 25 28 50 44 25 33 50 45 46 48 25 40 44 28 39 1]X 792 5603 M (and their membership functions for the gray level attribute. The domain of the fuzzy set is ) [44 50 50 25 28 50 44 28 33 25 78 44 78 50 44 33 39 50 28 50 26 33 51 50 44 28 28 50 50 39 25 33 50 33 25 28 50 44 26 49 34 46 48 25 28 44 50 44 29 25 44 28 28 33 28 50 50 28 44 25 25 61 50 44 25 50 50 78 44 28 50 25 50 33 26 28 50 44 25 33 50 45 46 47 25 40 44 28 25 28 39 1]X 792 5833 M (depicted along the) [50 44 50 28 44 28 44 50 25 44 28 50 50 49 25 28 50 1]X 1523 5833 M ( x axis and ranges from black to white\(0) [25 51 25 44 51 28 39 25 44 50 50 25 33 44 50 49 44 39 25 33 33 50 78 25 50 28 44 44 50 25 28 50 25 72 50 28 28 44 33 1]X 3132 5833 M (-) [1]X 3165 5833 M (255\). 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[78 44 78 50 44 33 39 50 28 50 1]X [100 0 0 -100 0 0]/Times-Italic MF 1311 2192 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1369 2192 M (The fuzzy lingu) [61 50 44 59 33 50 45 46 48 58 28 28 50 49 1]X 2068 2192 M (istic variables are labeled as DARK, MEDIUM, and ) [28 39 28 28 44 58 50 44 33 28 44 50 29 44 39 58 44 34 44 58 28 44 50 44 28 44 50 59 44 39 58 72 72 67 72 25 59 89 61 73 32 72 89 25 58 44 51 51 1]X 792 2422 M (BRIGHT. For instance, a gray level x=180 has 0.2 degree of membership in the ) [66 68 32 72 72 61 25 57 55 51 33 57 28 50 39 28 44 50 44 44 26 57 44 57 49 33 46 48 57 28 44 51 44 28 57 51 56 50 50 50 57 49 44 39 57 50 25 50 57 50 44 49 34 44 44 57 50 33 57 78 44 79 50 44 33 39 50 28 50 57 28 50 57 28 50 43 1]X 792 2652 M (MEDIUM fuzzy subset and 0.6 degree in the BRIGHT fuzzy subset. If the gray) [89 61 73 32 72 89 31 33 50 45 46 47 31 39 50 50 39 44 28 32 44 50 50 31 50 25 50 31 50 44 49 34 44 44 31 28 50 31 28 50 44 31 66 67 32 73 72 61 31 33 50 45 46 47 31 39 50 50 39 44 28 25 32 32 33 31 28 51 44 31 49 34 46 1]X 4050 2652 M (-) [1]X 4083 2652 M (level of ) [28 44 51 44 28 31 50 33 1]X 792 2882 M (expected object is BRIGHT, we can use these me) [44 51 50 44 44 28 44 50 46 50 50 28 44 44 28 46 28 39 47 66 68 33 72 72 61 25 46 72 45 46 45 44 50 46 50 39 44 46 28 51 44 39 45 46 78 1]X 2942 2882 M (mberships and their corresponding ) [78 50 44 33 39 50 28 50 39 46 44 50 51 46 28 50 44 28 34 46 44 50 33 34 44 39 50 50 50 50 28 50 50 1]X 792 3112 M (fuzzy set to score the precision of the initial segmentation results.) [33 50 45 45 47 25 39 44 28 25 28 50 25 39 44 50 33 44 25 28 50 44 25 50 33 44 44 28 39 28 50 50 25 50 33 25 28 50 44 25 28 50 28 28 28 44 28 25 39 44 49 78 44 50 28 44 28 28 50 50 25 33 44 39 50 28 28 39 1]X 3406 3112 M ( ) [1]X 792 3342 M ( ) [1]X [108 0 0 -108 0 0]/Times-BoldItalic MF 792 3468 M (Scoring of Object Recognition) [60 48 54 42 30 60 54 27 54 36 27 78 54 30 48 48 30 27 72 48 48 54 54 60 30 30 30 54 1]X 2139 3468 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 3706 M (On the recognition and understanding level, the encountered problem is how the ) [72 50 60 28 50 44 61 33 44 44 51 49 50 28 28 28 50 50 61 44 51 50 60 50 50 50 44 33 39 28 44 50 50 28 51 49 60 29 44 50 44 28 25 61 28 50 44 60 44 50 44 50 50 50 29 44 33 44 51 60 50 33 50 50 28 45 78 60 28 39 60 50 50 72 60 28 50 45 1]X 792 3936 M (judgment of instances of low) [28 50 50 49 78 44 50 28 36 50 33 36 28 50 39 28 44 50 45 44 39 36 50 34 36 28 50 1]X 1997 3936 M (-) [1]X 2030 3936 M (level process) [28 44 50 44 28 36 50 33 50 45 44 39 1]X 2560 3936 M (es can be combined to judgments of higher ) [44 39 36 45 44 51 36 50 44 36 44 50 78 50 28 50 44 50 36 28 50 36 28 50 50 49 78 45 50 28 39 36 50 33 36 36 50 28 49 50 44 34 1]X 792 4166 M (level processes. Values of attributes originated from initial segmentation, together with ) [28 44 50 44 28 37 50 33 50 44 44 39 39 44 39 25 37 73 44 28 50 44 39 38 50 33 37 44 28 28 33 28 50 50 28 44 39 37 50 33 28 49 28 50 44 28 44 50 38 34 33 50 78 37 28 50 28 28 28 44 28 37 39 44 49 78 44 50 28 44 28 28 50 50 25 37 28 50 49 44 28 50 44 33 37 72 28 28 50 1]X 792 4396 M (an estimate of their precision, should be evaluated by the requests of high) [44 50 61 44 39 28 28 78 44 28 44 61 50 33 61 28 50 44 28 33 61 50 34 44 44 28 39 28 50 50 25 61 39 50 50 50 28 50 61 50 44 61 44 50 44 29 50 44 28 44 50 61 52 48 61 28 50 44 61 33 44 50 51 44 39 28 39 61 50 33 61 50 28 49 1]X 4163 4396 M (-) [1]X 4196 4396 M (level ) [29 44 50 44 29 1]X 792 4626 M (constraints based on how well they fit th) [44 50 50 39 28 33 44 28 50 28 39 32 50 44 39 44 50 32 50 50 32 50 51 72 32 72 44 28 28 32 28 50 46 48 32 33 28 28 32 28 1]X 2460 4626 M (e constraints. Again this may be done by fuzzy ) [44 32 44 50 50 39 29 33 44 28 50 28 39 25 32 73 49 44 28 50 32 28 50 28 39 32 78 46 48 32 51 44 32 50 50 50 44 32 52 48 32 33 50 45 46 49 1]X 792 4856 M (logic. First the constraints can be transformed into a set of fuzzy rules, then with the ) [28 50 49 28 44 25 41 55 28 33 39 28 41 28 50 44 41 44 50 50 39 28 34 44 28 51 28 39 41 44 44 50 41 50 44 41 28 33 44 50 39 33 50 33 78 44 50 41 29 50 28 50 41 44 41 39 44 28 41 50 33 41 33 50 45 46 47 41 33 50 28 44 39 26 41 28 50 44 50 41 72 28 28 50 41 28 50 43 1]X 792 5086 M (combination of the fuzzy score derived from initial segmentation and the fuzzy rules, a ) [44 50 78 50 28 50 44 28 28 50 50 34 50 33 34 28 50 45 34 33 50 45 45 49 34 40 44 50 34 44 34 50 45 33 28 50 44 50 35 33 33 50 78 34 28 50 29 28 28 44 28 34 39 45 49 78 44 50 28 44 28 28 50 50 34 44 50 51 34 28 51 44 34 33 50 45 46 48 35 33 50 28 44 39 25 35 44 1]X 792 5316 M (set of fuzzy solution can be gen) [39 44 28 48 50 33 48 33 50 45 46 47 48 39 50 28 50 28 28 50 50 48 44 45 50 48 50 44 48 50 44 1]X 2195 5316 M (erated. To make a final decision, a de) [44 34 44 28 44 50 25 48 61 50 48 78 45 50 44 48 44 48 33 28 50 44 28 48 50 45 44 28 39 28 50 50 25 48 44 48 51 1]X 3853 5316 M (-) [1]X 3886 5316 M (fuzzification ) [33 50 45 45 28 33 28 44 44 28 28 50 50 1]X 792 5546 M (process is employed and a numerical confidence will be assigned to evaluate each fuzzy ) [50 33 50 44 44 39 39 31 28 39 31 44 78 50 28 51 48 45 50 31 44 50 51 31 44 31 50 50 78 44 33 28 44 44 28 31 44 50 51 33 28 50 44 50 45 44 31 72 28 28 28 31 50 44 31 44 39 39 28 49 50 44 50 31 28 50 31 44 50 44 28 51 44 28 44 31 44 45 44 50 31 33 50 45 46 49 1]X 792 5776 M (solution, only the solution with high values are selected as the final results.) [39 50 28 50 28 28 50 50 25 25 50 50 28 47 25 28 50 44 25 39 50 28 50 28 28 50 50 25 72 28 28 50 25 50 28 49 50 25 50 44 28 50 44 39 25 44 33 44 25 39 44 28 44 44 28 44 50 25 44 39 25 28 50 44 25 33 28 50 44 28 25 33 44 39 50 28 28 39 1]X [133 0 0 -133 0 0]/Times-Bold MF 3786 5776 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1452 612 M ( ) [1]X [226 0 0 -226 0 0]/Times-Roman MF gs n 54 143 1452 522 CB 1450 613 M ( ) [1]X gr [100 0 0 -100 0 0]/Times-Roman MF 1506 612 M ( ) [1]X 2 setlinecap 4 sl n 1550 1156 M 3537 1158 L CM 2 2 scale s SM gs n 461 140 1475 522 CB n 1550 584 M 1860 586 L CM 2 2 scale s SM gr gs n 453 710 1785 522 CB n 1860 586 M 2162 1156 L CM 2 2 scale s SM gr gs n 459 710 1897 522 CB n 1972 1156 M 2280 584 L CM 2 2 scale s SM gr gs n 522 710 2205 522 CB n 2280 586 M 2651 1156 L CM 2 2 scale s SM gr gs n 372 710 2355 522 CB n 2430 1156 M 2651 584 L CM 2 2 scale s SM gr gs n 681 140 2576 522 CB n 2651 584 M 3181 586 L CM 2 2 scale s SM gr gs n 153 710 3106 522 CB n 3181 586 M 3183 1156 L CM 2 2 scale s SM gr [116 0 0 -116 0 0]/Times-Roman MF 1452 627 M (1) [1]X [100 0 0 -100 0 0]/Times-Roman MF gs n 30 114 1510 540 CB 1510 630 M ( ) [1]X gr [226 0 0 -226 0 0]/Times-Roman MF gs n 56 43 1500 522 CB 1500 513 M ( ) [1]X gr [100 0 0 -100 0 0]/Times-Roman MF gs n 44 14 1556 522 CB 1556 512 M ( ) [1]X gr gs n 121 691 1484 522 CB 3 sl n 1544 528 M 1544 1152 L CM 2 2 scale s SM gr [84 0 0 -84 0 0]/Times-Roman MF 3233 1131 M ( GRAYLEVEL\(x\)) [22 60 54 60 60 50 52 60 52 50 28 42 1]X 3851 1131 M ( ) [1]X 1652 981 M (DARK) [60 60 54 1]X 1888 981 M ( ) [1]X 1952 981 M ( MIDIUM) [22 20 22 20 20 22 20 22 20 22 74 28 60 28 58 1]X 2484 981 M ( ) [1]X 2552 981 M ( BRIGHT) [22 20 22 21 22 54 54 28 62 58 1]X 2967 981 M ( ) [1]X 1488 1237 M ( 0) [22 22 1]X 1572 1237 M ( ) [1]X 1788 1237 M ( ) [1]X 2088 1237 M ( ) [1]X 2388 1237 M ( 180) [22 20 22 20 42 42 1]X 2596 1237 M ( ) [1]X 2689 1237 M ( ) [1]X 2989 1237 M ( 255) [22 20 22 20 20 22 42 42 1]X 3241 1237 M ( ) [1]X n 2580 798 M 2578 796 L 2576 794 L 2576 794 L 2574 796 L 2574 842 L 2574 844 L 2576 846 L 2578 846 L 2580 844 L cp f n 2580 862 M 2580 860 L 2578 858 L 2576 858 L 2574 860 L 2574 908 L 2574 910 L 2576 912 L 2578 912 L 2580 910 L cp f n 2580 928 M 2580 926 L 2578 924 L 2576 924 L 2574 926 L 2574 974 L 2574 976 L 2576 978 L 2578 978 L 2580 976 L cp f n 2580 994 M 2580 992 L 2578 990 L 2576 990 L 2574 992 L 2574 1040 L 2574 1042 L 2576 1044 L 2578 1044 L 2580 1042 L cp f n 2580 1060 M 2580 1058 L 2578 1056 L 2576 1056 L 2574 1058 L 2574 1106 L 2574 1108 L 2576 1110 L 2578 1110 L 2580 1108 L cp f n 2580 1126 M 2580 1124 L 2578 1122 L 2576 1122 L 2574 1124 L 2574 1146 L 2574 1146 L 2576 1148 L 2576 1148 L 2580 1148 L cp f [92 0 0 -92 0 0]/Times-Roman MF 1392 1447 M (Fig 2) [51 26 45 23 1]X 1583 1447 M (-) [1]X 1612 1447 M (4: Fuzzy membership functions of the gray) [46 26 23 23 51 46 40 40 45 23 70 41 70 46 41 31 36 46 26 46 23 31 46 46 41 26 26 46 46 36 23 46 31 23 26 46 41 23 45 31 41 1]X 3216 1447 M (-) [1]X 3245 1447 M (level attribute) [26 41 45 41 26 23 41 26 26 31 26 46 46 26 1]X 3756 1447 M ( ) [1]X showpage %%Page: 43 43 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (43) [50 1]X [150 0 0 -150 0 0]/Times-Bold MF 792 631 M (2.5) [75 38 1]X 980 631 M ( ) [1]X 1092 631 M (Implementation of the Object) [58 125 83 42 67 125 67 83 50 75 50 42 75 83 55 75 50 55 50 83 66 55 117 83 50 66 67 1]X 3038 631 M (-) [1]X 3088 631 M (oriente) [75 67 42 67 83 50 1]X 3539 631 M (d Knowledge ) [83 54 117 83 74 109 42 67 83 75 66 1]X 1092 890 M (Model) [142 75 83 67 1]X 1501 890 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1149 M (So far, the various aspects of the object) [56 50 25 33 44 33 25 25 28 50 44 25 50 44 33 28 50 50 39 25 44 39 50 44 44 28 39 25 50 33 25 28 50 44 25 50 50 28 44 44 1]X 2361 1149 M (-) [1]X 2394 1149 M (oriented knowledge model have been discussed ) [50 33 28 44 50 28 44 50 25 50 50 50 72 28 44 50 49 44 25 78 50 50 44 28 25 50 44 50 44 25 50 44 44 50 25 50 28 39 44 50 39 39 44 50 1]X 792 1379 M (and a corresponding model has been developed. The focus of this section will be on the ) [44 50 50 25 44 25 44 50 33 33 44 39 50 50 50 50 28 50 49 25 78 50 50 44 28 25 50 44 39 25 50 44 44 50 25 50 44 50 44 28 50 50 44 50 25 25 61 50 44 25 33 50 44 50 39 25 50 33 25 28 50 28 39 25 39 44 44 28 28 50 50 25 72 28 28 28 25 50 44 25 50 50 25 28 50 44 1]X 792 1609 M (application of this model into medical image analysis. ) [44 50 50 28 28 44 44 28 28 50 50 25 50 33 25 28 50 28 39 25 78 50 50 44 28 25 28 50 28 50 25 78 44 50 28 44 44 28 25 28 78 44 49 44 25 44 50 44 28 47 39 28 39 25 1]X 2973 1609 M ( ) [1]X 792 1838 M ( ) [1]X [133 0 0 -133 0 0]/Times-Bold MF 792 2152 M (2.5.1. ) [67 33 67 33 67 33 1]X 1125 2152 M (Chest Digital Radiographs) [96 74 59 52 44 33 96 37 67 37 44 67 37 33 96 67 74 37 67 67 59 67 74 74 1]X 2635 2152 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 2475 M (The utility of image processing technique in diagnostic chest radiology has increased ) [61 50 44 43 50 28 28 28 28 29 47 43 51 33 43 28 78 45 49 44 43 50 34 50 44 44 39 39 28 50 49 43 29 44 44 50 50 28 50 50 44 43 28 50 43 50 29 44 49 50 50 39 28 28 44 44 44 50 44 39 28 43 33 45 50 28 50 28 50 51 49 43 50 44 39 43 28 50 44 33 45 44 39 44 51 1]X 792 2705 M (with the growing acceptance of digital radiography. In this case study, we will ) [72 28 28 50 64 28 50 44 64 49 33 50 72 28 51 49 65 44 44 45 45 50 28 44 50 44 44 64 50 33 64 50 29 49 28 28 44 28 64 33 44 50 28 51 49 34 44 50 52 48 25 65 32 50 64 28 50 28 39 64 44 44 39 44 64 40 28 50 51 48 25 64 72 44 65 72 28 28 28 1]X 792 2935 M (incorporate an object) [28 50 44 50 33 50 50 33 44 28 44 26 44 50 25 50 50 28 45 44 1]X 1636 2935 M (-) [1]X 1669 2935 M (oriented chest model into the chest digita) [50 33 29 44 50 28 44 50 25 44 50 44 39 28 25 78 50 50 44 28 25 28 50 28 50 25 28 51 44 25 44 50 44 39 28 25 50 29 49 28 28 1]X 3314 2935 M (l radiographs analysis. The ) [28 25 33 44 50 28 51 50 33 44 50 51 39 25 44 50 44 30 47 39 28 39 25 25 61 51 44 1]X 792 3164 M (major advantage of our model) [78 44 28 50 33 30 44 50 51 44 50 28 45 49 45 30 50 33 30 50 51 33 31 78 50 50 44 1]X 2019 3164 M (-) [1]X 2052 3164 M (based analysis is its robust property which works on both ) [50 44 39 44 50 31 44 50 44 30 48 39 28 39 30 28 39 30 29 28 39 30 33 50 50 50 39 28 30 50 33 50 50 45 33 29 48 31 72 50 28 44 50 31 72 50 33 50 39 30 50 50 30 50 50 28 51 1]X 792 3394 M (normal and abnormal radiographs. ) [50 50 33 78 44 28 25 44 50 50 25 44 50 50 50 33 78 44 28 25 33 44 50 28 50 49 33 44 50 50 39 25 1]X 2191 3394 M ( ) [1]X 972 3624 M (When visually analyzing a digital chest radiograph, we use the following models to ) [95 50 44 50 32 50 28 39 50 44 28 29 48 32 44 50 44 30 48 45 28 50 50 32 44 32 50 28 49 28 28 44 28 33 44 50 44 39 28 32 33 44 50 28 51 49 34 44 51 50 25 32 72 44 32 50 39 44 32 28 50 44 33 33 50 28 28 50 72 28 50 49 33 78 50 50 44 28 39 32 28 50 1]X 792 3854 M (describe the contents en) [50 44 39 44 33 28 50 44 25 28 50 44 25 44 50 50 28 44 50 28 39 25 44 1]X 1748 3854 M (closed in chest radiographs) [44 28 50 39 44 50 25 28 50 25 44 50 44 39 28 25 33 44 50 28 50 49 33 44 50 50 1]X 2831 3854 M ( ) [1]X 867 4084 M ( ) [1]X [117 0 0 -117 0 0]/Times-Bold MF 792 4332 M (Model Design) [110 59 65 52 33 29 84 52 46 33 59 1]X 1479 4332 M ( ) [1]X [108 0 0 -108 0 0]/Times-BoldItalic MF 792 4593 M (Chest Model) [72 60 48 42 30 27 96 54 54 48 1]X 1353 4593 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 4831 M (Chest radiographs have complex anatomical structures as shown in Fig 2) [67 50 44 39 28 43 33 44 50 28 51 49 33 44 50 50 40 43 50 44 50 45 44 44 50 78 50 28 44 51 43 44 50 44 28 50 78 28 44 44 28 43 39 28 33 51 44 28 50 33 44 39 44 44 39 43 39 50 50 72 50 43 28 50 44 55 29 49 44 1]X 3892 4831 M (-) [1]X 3925 4831 M (5 \(a) [50 43 33 1]X 4096 4831 M (-) [1]X 4129 4831 M (b\). To ) [50 33 25 43 61 51 1]X 792 5061 M (simply the problem, we only focus on the major constitution anatomical structures in ) [39 28 78 50 29 47 42 28 50 44 42 51 33 50 50 28 44 78 25 42 72 45 42 50 50 29 48 42 33 50 44 50 39 42 50 50 42 28 50 44 42 79 44 28 50 33 42 44 50 50 39 28 28 28 50 28 28 50 50 42 44 50 44 28 50 78 28 44 44 28 42 39 28 33 50 44 28 50 33 44 39 42 28 51 1]X 792 5291 M (chest images as shown in Fig 2) [44 50 44 39 28 33 28 78 45 49 44 39 34 44 39 33 39 50 50 72 50 33 29 50 33 55 29 49 33 1]X 2085 5291 M (-) [1]X 2118 5291 M (5\(c) [50 34 1]X 2246 5291 M (\), which can be divided into three component object ) [33 25 34 72 50 28 44 50 33 45 44 50 34 50 44 33 50 28 50 28 50 44 50 33 28 50 28 50 33 28 50 33 44 45 33 44 51 78 50 50 50 44 50 28 33 50 50 28 44 44 28 1]X 792 5521 M (models: the body model, the spine model and the lung model. All these models are ) [78 50 50 44 28 39 28 46 28 50 44 46 50 50 51 47 46 78 50 50 45 28 25 46 28 50 44 46 39 50 28 50 44 46 78 50 50 44 28 46 44 50 50 45 28 50 44 46 28 50 50 49 46 78 50 50 44 28 25 46 72 28 28 46 28 50 44 39 44 46 78 50 50 44 28 39 46 44 33 44 1]X 792 5751 M (included in the main object class: the chest model class. Their semantic relations are ) [28 50 44 28 50 50 44 50 43 28 50 43 28 50 44 43 78 44 28 50 43 50 49 28 44 44 28 43 44 28 44 39 39 28 43 28 50 44 43 44 50 44 39 28 43 78 49 50 44 28 43 44 28 44 39 39 25 43 61 50 44 28 33 43 39 44 78 44 50 28 28 44 43 33 44 28 44 28 28 50 50 39 43 44 33 45 1]X showpage %%Page: 44 44 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (44) [50 1]X [79.711 0 0 -79.711 0 0]/Times-Roman MF gs n 35 88 1512 882 CB 1511 951 M ( ) [1]X gr n 2093 1668 1512 882 B 1 g f gs n 1994 1617 1560 906 CB /Adobe_WinNT_Driver_Gfx 175 dict dup begin %%BeginResource: file Adobe_WinNT_Utils 2.0 0 /|/def load def/,/load load |/~/exch load def/?/ifelse load def/!/pop load def /`/begin load def/^/index load def/@/dup load def/+/translate load def/$/roll load def/U/userdict load def/-/rlineto load def/&/currentdict load def/:/gsave load def/;/grestore load def/F/false load def/T/true load def/N/newpath load def/E/end load def/Ac/arc load def/An/arcn load def/A/ashow load def/D /awidthshow load def/C/closepath load def/O/eofill load def/I/lineto load def /-C/rcurveto load def/-M/rmoveto load def/+S/scale load def/Ji/setfont load def /Lc/setlinecap load def/Lj/setlinejoin load def/Lw/setlinewidth load def/S/show load def/LH/showpage load def/K/stroke load def/W/widthshow load def/b{bind def}bind def/DefIf_B{dup not{userdict/DefIf_save save put}if userdict /DefIf_bool 2 index put}b/DefIf_El{if userdict/DefIf_bool get not dup{userdict /DefIf_save get restore}if}b/DefIf_E{DefIf_El pop}b/self currentdict def /reinitialize{[/TextInit/GraphInit/UtilsInit counttomark{dup where{self eq} {false}ifelse{cvx exec}{pop}ifelse}repeat cleartomark}b/initialize{begin userdict begin/ADO_mxRot exch def/TextInitialised? false def end reinitialize}b /terminate{pop{currentdict self eq{exit}{end}ifelse}loop end}b/dsnap{dtransform round exch round exch idtransform}b<04>cvn{}def/sg{setgray}b/sco{setrgbcolor}b /sgco{{sg}{sco}ifelse}b/rp{4 2 roll M 1 index 0 rlt 0 exch rlt neg 0 rlt}b %%EndResource %%BeginResource: file Adobe_WinNT_Utils_L1 2.0 0 L2? not DefIf_B{/rf{newpath rp fill}b}DefIf_E %%EndResource %%BeginResource: file Adobe_WinNT_Utils_L2 2.0 0 L2? 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Te@SJIJDIEPaAWVrf NaADR!A֔DR\D&C->=J|4\dtAxS#@&\@_&f*f\bEb an`h9N;n:c:Ò&D#fRcgq/iAxz "kOkK(TưfhjthO$LA; a4S>&SA21 !`@  1` ` `th hEj.^DHDgDDBDSCӎCk ::C!(澠%;G} A$s}S=„g^#"ub. endimage n 2928 326 1251 5235 B f 0 g 1311 5358 M (Fig 2) [55 28 49 25 1]X 1518 5358 M (-) [1]X 1551 5358 M (9:) [50 1]X 1629 5358 M ( More experimental results of chest radiographs) [25 25 89 50 33 44 25 44 51 50 44 33 28 78 44 50 28 44 28 25 33 44 39 50 28 28 39 25 50 33 25 44 50 44 39 28 25 33 44 50 28 50 49 33 44 50 50 1]X 3561 5358 M ( ) [1]X showpage %%Page: 51 51 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (51) [50 1]X [133 0 0 -133 0 0]/Times-Bold MF 792 616 M (2.5.2. Pelvis Digital Radiographs) [67 33 67 33 67 33 33 81 59 37 67 37 52 33 96 37 67 37 44 67 37 33 96 67 74 37 67 67 59 67 74 74 1]X 2643 616 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 939 M (This case study will use the object) [61 50 28 39 36 44 44 39 44 36 39 28 50 51 47 36 72 28 28 28 36 50 39 45 36 28 50 44 36 50 50 28 44 44 1]X 2228 939 M (-) [1]X 2261 939 M (oriented knowledge model to detect the major bone ) [50 33 28 44 50 28 44 50 36 50 50 50 72 28 44 50 50 44 36 78 50 50 44 28 36 28 50 36 50 44 28 44 44 28 35 28 50 44 36 78 44 28 50 33 36 50 50 50 44 1]X 792 1169 M (structures in pelvis image) [39 28 33 50 44 28 50 33 44 39 37 28 50 37 50 44 28 50 28 39 37 28 78 44 50 1]X 1852 1169 M (s. For clearness, we still divide the model into two parts: the ) [39 25 37 55 50 33 38 44 28 44 44 33 51 44 39 39 25 37 72 44 37 39 28 29 28 28 37 50 28 50 28 50 44 37 28 50 44 37 78 50 50 44 28 37 28 50 28 50 36 28 72 50 37 50 44 33 28 39 28 37 28 50 44 1]X 792 1399 M (pelvis model attribute part and its method part.) [50 44 28 50 28 39 25 78 50 50 44 28 25 44 28 28 33 28 50 50 28 44 25 50 44 33 28 25 44 50 50 25 28 28 39 25 78 44 28 50 50 50 25 50 44 33 28 1]X 2663 1399 M ( ) [1]X [117 0 0 -117 0 0]/Times-BoldItalic MF 792 1698 M (The pelvis model attribute design) [71 65 52 29 59 52 33 52 33 46 29 94 59 59 52 33 29 59 33 33 46 33 59 65 33 52 29 59 52 46 33 59 1]X 2395 1698 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1947 M (The pelvis images have a complex bone structure as shown in Fig 2) [61 50 44 28 50 44 28 50 28 39 28 28 78 45 50 44 39 28 50 44 51 44 29 44 28 44 50 78 50 28 44 51 28 50 50 50 44 28 39 28 33 51 44 28 50 33 45 28 44 39 28 39 50 50 72 51 28 28 50 29 55 28 50 28 1]X 3537 1947 M (-) [1]X 3570 1947 M (10\(a) [50 50 34 1]X 3748 1947 M (-) [1]X 3782 1947 M (b\). To simplify ) [50 33 25 28 61 50 28 39 28 78 50 28 28 35 49 1]X 792 2177 M (the problem, we focus ) [28 50 44 46 50 33 50 50 28 44 78 25 46 72 44 46 33 50 44 50 39 1]X 1788 2177 M (on the major constitution bone structures in pelvis images as ) [50 50 46 28 50 44 46 78 44 28 50 33 46 44 50 50 39 28 28 28 50 27 28 49 50 46 50 50 50 44 46 39 28 33 50 44 28 50 33 44 39 46 28 50 46 50 44 27 50 28 39 46 28 78 44 49 44 39 46 44 40 1]X 792 2407 M (shown in Fig 2) [39 50 50 72 50 32 28 50 32 55 29 50 32 1]X 1411 2407 M (-) [1]X 1444 2407 M (10\(c\), which can be divided into four component object models: the hip ) [50 50 34 44 33 25 32 73 50 28 44 50 32 44 44 51 32 50 45 32 50 28 50 28 50 44 50 32 28 50 28 50 33 33 50 50 33 32 44 50 78 50 50 51 44 50 28 32 50 50 28 44 44 29 33 78 50 50 44 28 39 28 32 28 50 44 32 50 28 50 1]X 792 2637 M (model, the iliac bone model, the pubic bone model and the femur bone model. All these ) [78 50 50 44 28 25 31 28 50 44 31 28 28 28 44 44 31 50 50 50 44 31 78 50 50 44 28 25 31 28 50 44 31 50 50 50 28 44 31 50 50 50 44 31 78 50 51 44 28 31 44 50 50 31 28 50 44 31 33 44 78 51 33 31 50 50 50 44 31 79 50 50 44 28 25 31 72 28 28 31 28 50 44 39 44 1]X 792 2867 M (models are included in) [78 50 50 44 28 39 64 44 33 44 64 28 50 44 28 50 50 44 50 64 29 1]X 1817 2867 M ( the main object class: the pelvis model class. Fig 2) [64 28 50 44 64 78 44 28 50 64 50 50 28 44 44 28 64 44 28 45 39 39 28 64 28 50 44 64 50 44 28 50 28 39 64 78 50 50 44 28 64 44 28 44 39 39 25 64 55 28 49 64 1]X 4259 2867 M (-) [1]X 4292 2867 M (11 ) [50 50 1]X 792 3097 M (demonstrates the class diagrams of all model objects. ) [50 44 78 50 50 39 28 33 44 28 44 39 25 28 50 44 25 44 28 44 39 39 25 50 28 44 49 33 44 78 39 25 50 33 25 44 28 28 25 78 50 50 44 28 25 50 50 28 44 44 28 39 25 1]X 2941 3097 M ( ) [1]X [117 0 0 -117 0 0]/Times-BoldItalic MF 792 3396 M (The pelvis method design) [71 65 52 29 59 52 33 52 33 46 29 94 52 33 65 59 59 29 59 52 46 33 59 1]X 2018 3396 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 3645 M (To achieve a reliable bone contour detection in pelvis images, a well) [61 50 43 44 44 50 28 44 50 44 44 44 43 33 44 28 28 44 50 28 44 43 51 50 50 44 43 44 50 50 28 50 50 33 43 50 44 28 45 44 28 28 50 50 43 28 50 43 50 44 28 50 28 39 43 28 78 44 49 44 39 25 43 44 44 72 44 28 1]X 3732 3645 M (-) [1]X 3765 3645 M (defined control ) [51 44 33 28 50 44 50 43 44 50 50 28 33 50 29 1]X 792 3875 M (strategy is crucial. Through our ) [39 28 33 44 28 45 51 48 42 28 39 42 44 33 50 44 29 44 28 25 42 61 50 33 51 50 49 50 42 50 50 33 1]X 2159 3875 M (numerous experiments, we observe some facts which ) [50 50 79 44 33 50 50 39 42 44 51 50 45 33 28 78 44 50 28 39 25 42 72 44 42 50 50 39 44 33 51 44 42 39 51 78 44 42 33 44 44 28 39 42 72 50 28 44 50 1]X 792 4105 M (exists in most pelvis images. ) [44 51 28 39 28 39 25 28 50 25 78 50 39 28 25 50 44 28 50 28 39 25 28 78 44 49 44 39 25 1]X 1965 4105 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 972 4343 M (\267) [1]X 1018 4343 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1092 4343 M (The hip region is the easier part to be located in pelvis images ) [61 50 44 25 50 28 50 25 33 44 49 28 50 50 25 28 39 25 28 50 44 25 44 44 39 28 44 33 25 50 44 33 28 25 28 50 25 50 44 25 28 50 44 44 28 44 50 25 28 50 25 50 44 28 50 28 39 25 28 78 44 49 44 39 1]X 3589 4343 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 972 4580 M (\267) [1]X 1018 4580 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1092 4580 M (The femur bones usually have more complete and clearer shape contour than ) [61 50 44 46 33 44 78 50 33 46 50 50 50 44 39 46 50 39 50 44 28 28 48 47 50 44 50 44 46 78 50 33 44 46 44 50 78 50 28 44 29 44 46 44 50 50 46 44 28 44 44 34 44 33 46 39 50 44 50 44 46 44 50 50 28 51 50 33 46 28 50 44 50 1]X 1092 4809 M (other bone structures in the images) [50 28 50 44 33 25 50 50 50 44 25 39 28 33 50 44 28 50 33 44 39 25 28 50 25 28 50 44 25 28 78 44 49 44 1]X 2486 4809 M (. ) [25 1]X 2536 4809 M ( ) [1]X [100 0 0 -100 0 0]/Symbol MF 972 5047 M (\267) [1]X 1018 5047 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 1092 5047 M (The pubic bone is located near the center of the hip region) [61 50 44 25 50 50 50 28 44 25 50 50 50 44 25 28 39 25 28 50 44 44 28 44 50 25 50 44 44 33 25 28 50 44 25 44 44 50 28 44 33 25 50 33 25 28 50 44 25 50 28 50 25 33 44 49 28 50 1]X 3416 5047 M ( ) [1]X 792 5276 M (Based on the information, the control strategy of the pelvis model is designed in the ) [66 44 39 44 50 43 50 50 43 28 50 44 43 28 50 33 50 33 78 44 28 28 51 50 25 43 28 50 44 43 44 50 50 28 33 50 28 43 39 28 33 44 28 44 51 48 43 51 33 43 28 50 44 43 50 44 28 50 28 39 43 78 50 50 44 28 43 28 39 43 50 43 39 28 49 50 44 50 43 28 50 43 28 50 44 1]X 792 5506 M (following procedure:) [33 50 28 28 50 72 28 50 49 25 50 33 50 44 44 50 50 33 44 1]X 1631 5506 M ( ) [1]X showpage %%Page: 52 52 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (52) [50 1]X [92 0 0 -92 0 0]/Times-Roman MF 1212 575 M (The hip model match ) [57 46 40 28 45 26 46 28 70 46 46 41 26 28 70 41 26 41 45 1]X [92 0 0 -92 0 0]/Wingdings0100 MF (\315)0 2036 575 MS [92 0 0 -92 0 0]/Times-Roman MF 2134 575 M ( the femur model match ) [27 26 45 41 28 31 41 70 46 31 28 70 46 46 41 26 28 70 41 26 41 45 1]X [92 0 0 -92 0 0]/Wingdings0100 MF (\315)0 3056 575 MS [92 0 0 -92 0 0]/Times-Roman MF 3154 575 M ( the pubic model match ) [27 26 45 41 28 46 46 45 26 41 28 70 46 46 41 25 28 70 41 26 41 45 1]X [92 0 0 -92 0 0]/Wingdings0100 MF (\315)0 1272 786 MS [92 0 0 -92 0 0]/Times-Roman MF 1370 786 M ( the iliac model ) [23 26 46 41 23 26 26 26 41 41 23 70 46 46 41 26 1]X 1964 786 M (match) [70 41 26 41 1]X 2188 786 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1004 M (In this case, the component objects do not have control strategies.) [31 50 25 28 50 28 39 25 44 44 39 44 25 25 28 50 44 25 44 50 78 50 50 50 44 50 28 25 50 50 28 44 44 28 39 25 50 50 25 50 50 28 25 50 44 50 44 25 44 50 50 28 33 50 28 25 39 28 33 44 28 44 49 28 44 39 1]X 3413 1004 M ( ) [1]X [117 0 0 -117 0 0]/Times-BoldItalic MF 792 1353 M (Experimental Results) [78 59 59 52 46 33 94 52 65 33 59 33 29 78 52 46 65 33 33 1]X 1837 1353 M ( ) [1]X [100 0 0 -100 0 0]/Times-Roman MF 792 1602 M (The experiment has been performed on 50 pelvis images in our image databases. The ) [61 50 44 40 44 51 50 44 33 28 78 44 50 28 40 50 44 39 40 50 44 44 50 40 50 44 33 33 50 33 78 44 50 40 50 50 40 50 50 40 50 44 28 50 28 39 40 28 78 44 49 44 39 40 28 50 40 50 50 33 40 28 78 44 49 44 41 50 44 28 44 50 44 39 44 39 25 40 61 50 45 1]X 792 1832 M (images shown in Fig.2) [28 78 44 49 44 39 40 39 50 50 72 50 40 28 50 41 55 29 49 25 1]X 1742 1832 M (-) [1]X 1776 1832 M (12 and 2) [50 50 40 44 50 50 40 1]X 2150 1832 M (-) [1]X 2183 1832 M (13 demonstrate some experimental results. Table ) [50 50 40 50 44 78 50 50 39 28 33 44 29 44 40 39 50 78 44 40 44 51 50 44 33 28 78 44 50 28 44 28 40 33 44 40 50 28 28 39 25 40 61 44 50 28 44 1]X 4259 1832 M (2) [1]X 4309 1832 M (-) [1]X 4342 1832 M (1 ) [50 1]X 792 2062 M (lists the number of candidates and their corresponding confidence level of these images. ) [28 28 39 28 39 31 28 50 44 31 50 50 78 50 44 33 31 50 34 31 44 44 50 50 29 50 44 28 44 39 31 44 50 51 31 28 50 44 28 33 32 44 50 33 34 44 39 50 50 51 50 28 50 49 32 44 50 50 33 28 50 44 50 45 44 31 28 44 51 44 28 31 50 34 32 28 50 44 39 44 31 28 78 45 49 44 39 25 1]X 792 2292 M (From the original pelvis radiographs, it is hard to distinguish some bone contours even by ) [55 33 50 78 26 28 50 44 26 50 33 28 49 28 50 44 28 26 50 44 28 50 28 39 26 33 44 50 28 50 50 33 44 50 50 39 25 26 28 28 26 28 39 26 50 44 33 50 26 28 50 25 50 28 39 28 28 50 49 50 28 39 50 26 39 50 78 44 26 50 50 50 44 26 44 50 50 28 50 50 33 39 26 44 50 44 50 26 51 49 1]X 792 2522 M (human eyes, but our pelvis model can locate them pretty well. ) [50 50 78 44 50 25 44 47 44 39 25 25 50 50 28 25 50 50 33 25 50 44 28 50 28 39 25 78 50 50 44 28 25 44 44 50 25 28 50 44 44 28 44 25 28 50 44 78 25 50 33 44 28 28 47 25 72 44 28 28 25 1]X 3291 2522 M ( ) [1]X 792 2752 M ( ) [1]X 792 2982 M ( ) [1]X 792 3212 M ( ) [1]X 792 3442 M ( ) [1]X 792 3672 M ( ) [1]X 792 3902 M ( ) [1]X 792 4132 M ( ) [1]X 792 4362 M ( ) [1]X 942 4592 M ( ) [1]X 942 4822 M ( ) [1]X 942 5052 M ( ) [1]X 942 5282 M ( ) [1]X n 3299 2579 972 2832 B 1 g f 0 g 1077 2990 M (Image No:) [31 78 44 49 44 25 72 50 1]X 1498 2990 M ( ) [1]X 1617 2990 M (The candidate number) [61 50 44 25 44 44 50 50 28 50 44 28 44 25 50 50 78 50 44 1]X 2509 2990 M ( ) [1]X 2939 2990 M (Confidence level) [67 50 50 33 28 50 44 50 44 44 25 28 44 50 44 1]X 3618 2990 M ( ) [1]X n 7 37 1025 2862 B f n 7 7 1025 2862 B f n 531 7 1033 2862 B f n 7 29 1565 2870 B f n 7 7 1565 2862 B f n 1011 7 1573 2862 B f n 7 29 2585 2870 B f n 7 7 2585 2862 B f n 1371 7 2593 2862 B f n 7 37 3965 2862 B f n 7 7 3965 2862 B f n 7 176 1025 2900 B f n 7 176 1565 2900 B f n 7 176 2585 2900 B f n 7 176 3965 2900 B f 2637 3205 M (Candidate 1) [67 44 50 50 28 50 44 28 44 25 1]X 3117 3205 M ( ) [1]X 3357 3205 M ( 2.345) [25 25 25 25 25 50 25 50 50 1]X 3707 3205 M ( ) [1]X n 7 37 1025 3077 B f n 531 7 1033 3077 B f n 7 37 1565 3077 B f n 1011 7 1573 3077 B f n 7 37 2585 3077 B f n 711 7 2593 3077 B f n 7 29 3305 3085 B f n 7 7 3305 3077 B f n 651 7 3313 3077 B f n 7 37 3965 3077 B f n 7 114 1025 3115 B f n 7 114 1565 3115 B f n 7 114 2585 3115 B f n 7 114 3305 3115 B f n 7 114 3965 3115 B f 1077 3205 M (Image 1) [31 78 44 49 44 25 1]X 1398 3205 M ( ) [1]X 1617 3205 M ( 2) [25 25 25 25 25 25 25 25 25 25 25 25 25 25 1]X 2017 3205 M ( ) [1]X 2637 3359 M (Candidate 2) [67 44 50 50 28 50 44 28 44 25 1]X 3117 3359 M ( ) [1]X 3357 3359 M ( 2.158) [25 25 25 25 25 50 25 50 50 1]X 3707 3359 M ( ) [1]X n 7 37 1025 3231 B f n 7 37 1565 3231 B f n 7 37 2585 3231 B f n 711 7 2593 3231 B f n 7 37 3305 3231 B f n 651 7 3313 3231 B f n 7 37 3965 3231 B f n 7 114 1025 3269 B f n 7 114 1565 3269 B f n 7 114 2585 3269 B f n 7 114 3305 3269 B f n 7 114 3965 3269 B f 2637 3512 M (Candidate 1) [67 44 50 50 28 50 44 28 44 25 1]X 3117 3512 M ( ) [1]X 3357 3512 M ( 2.745) [25 25 25 25 25 50 25 50 50 1]X 3707 3512 M ( ) [1]X n 7 37 1025 3384 B f n 531 7 1033 3384 B f n 7 37 1565 3384 B f n 1011 7 1573 3384 B f n 7 37 2585 3384 B f n 711 7 2593 3384 B f n 7 37 3305 3384 B f n 651 7 3313 3384 B f n 7 37 3965 3384 B f n 7 114 1025 3422 B f n 7 114 1565 3422 B f n 7 114 2585 3422 B f n 7 114 3305 3422 B f n 7 114 3965 3422 B f 1077 3512 M (Image 2) [31 78 44 49 44 25 1]X 1398 3512 M ( ) [1]X 1617 3512 M ( 2) [25 25 25 25 25 25 25 25 25 25 25 25 25 25 1]X 2017 3512 M ( ) [1]X 2637 3665 M (Candidate 2) [67 44 50 50 28 50 44 28 44 25 1]X 3117 3665 M ( ) [1]X 3357 3665 M ( 2.01) [25 25 25 25 25 50 25 50 1]X 3657 3665 M (9) [1]X 3707 3665 M ( ) [1]X n 7 37 1025 3537 B f n 7 37 1565 3537 B f n 7 37 2585 3537 B f n 711 7 2593 3537 B f n 7 37 3305 3537 B f n 651 7 3313 3537 B f n 7 37 3965 3537 B f n 7 114 1025 3575 B f n 7 114 1565 3575 B f n 7 114 2585 3575 B f n 7 114 3305 3575 B f n 7 114 3965 3575 B f 2637 3819 M (Candidate 1) [67 44 50 50 28 50 44 28 44 25 1]X 3117 3819 M ( ) [1]X 3357 3819 M ( 3.012) [25 25 25 25 25 50 25 50 50 1]X 3707 3819 M ( ) [1]X n 7 37 1025 3691 B f n 531 7 1033 3691 B f n 7 37 1565 3691 B f n 1011 7 1573 3691 B f n 7 37 2585 3691 B f n 711 7 2593 3691 B f n 7 37 3305 3691 B f n 651 7 3313 3691 B f n 7 37 3965 3691 B f n 7 113 1025 3729 B f n 7 113 1565 3729 B f n 7 113 2585 3729 B f n 7 113 3305 3729 B f n 7 113 3965 3729 B f 2637 3972 M (Candidate 2) [67 44 50 50 28 50 44 28 44 25 1]X 3117 3972 M ( ) [1]X 3357 3972 M ( 2.754) [25 25 25 25 25 50 25 50 50 1]X 3707 3972 M ( ) [1]X n 7 37 1025 3844 B f n 7 37 1565 3844 B f n 7 37 2585 3844 B f n 711 7 2593 3844 B f n 7 37 3305 3844 B f n 651 7 3313 3844 B f n 7 37 3965 3844 B f n 7 114 1025 3882 B f n 7 114 1565 3882 B f n 7 114 2585 3882 B f n 7 114 3305 3882 B f n 7 114 3965 3882 B f 2637 4125 M (Candidate 3) [67 44 50 50 28 50 44 28 44 25 1]X 3117 4125 M ( ) [1]X 3357 4125 M ( 2.314) [25 25 25 25 25 50 25 50 50 1]X 3707 4125 M ( ) [1]X n 7 37 1025 3997 B f n 7 37 1565 3997 B f n 7 37 2585 3997 B f n 711 7 2593 3997 B f n 7 37 3305 3997 B f n 651 7 3313 3997 B f n 7 37 3965 3997 B f n 7 114 1025 4035 B f n 7 114 1565 4035 B f n 7 114 2585 4035 B f n 7 114 3305 4035 B f n 7 114 3965 4035 B f 2637 4278 M (Candidate 4) [67 44 50 50 28 50 44 28 44 25 1]X 3117 4278 M ( ) [1]X 3357 4278 M ( 2.109) [25 25 25 25 25 50 25 50 50 1]X 3707 4278 M ( ) [1]X n 7 37 1025 4150 B f n 7 37 1565 4150 B f n 7 37 2585 4150 B f n 711 7 2593 4150 B f n 7 37 3305 4150 B f n 651 7 3313 4150 B f n 7 37 3965 4150 B f n 7 114 1025 4188 B f n 7 114 1565 4188 B f n 7 114 2585 4188 B f n 7 114 3305 4188 B f n 7 114 3965 4188 B f 1077 3819 M (Image 3) [31 78 44 49 44 25 1]X 1398 3819 M ( ) [1]X 1617 3819 M ( ) [25 25 25 25 25 25 25 25 25 25 25 25 25 1]X 1967 3819 M (5) [1]X 2017 3819 M ( ) [1]X 2637 4431 M (Candidate 5) [67 44 50 50 28 50 44 28 44 25 1]X 3117 4431 M ( ) [1]X 3357 4431 M ( 1.982) [25 25 25 25 25 50 25 50 50 1]X 3707 4431 M ( ) [1]X n 7 37 1025 4303 B f n 7 37 1565 4303 B f n 7 37 2585 4303 B f n 711 7 2593 4303 B f n 7 37 3305 4303 B f n 651 7 3313 4303 B f n 7 37 3965 4303 B f n 7 114 1025 4341 B f n 7 114 1565 4341 B f n 7 114 2585 4341 B f n 7 114 3305 4341 B f n 7 114 3965 4341 B f 2637 4585 M (Candidate 1) [67 44 50 50 28 50 44 28 44 25 1]X 3117 4585 M ( ) [1]X 3357 4585 M ( 2.189) [25 25 25 25 25 50 25 50 50 1]X 3707 4585 M ( ) [1]X n 7 37 1025 4457 B f n 531 7 1033 4457 B f n 7 37 1565 4457 B f n 1011 7 1573 4457 B f n 7 37 2585 4457 B f n 711 7 2593 4457 B f n 7 37 3305 4457 B f n 651 7 3313 4457 B f n 7 37 3965 4457 B f n 7 114 1025 4495 B f n 7 114 1565 4495 B f n 7 114 2585 4495 B f n 7 114 3305 4495 B f n 7 114 3965 4495 B f 1077 4585 M (Image 4) [31 78 44 49 44 25 1]X 1398 4585 M ( ) [1]X 1617 4585 M ( 2) [25 25 25 25 25 25 25 25 25 25 25 25 25 25 1]X 2017 4585 M ( ) [1]X 2637 4738 M (Candidate 2) [67 44 50 50 28 50 44 28 44 25 1]X 3117 4738 M ( ) [1]X 3357 4738 M ( 1.974) [25 25 25 25 25 50 25 50 50 1]X 3707 4738 M ( ) [1]X n 7 37 1025 4610 B f n 7 37 1565 4610 B f n 7 37 2585 4610 B f n 711 7 2593 4610 B f n 7 37 3305 4610 B f n 651 7 3313 4610 B f n 7 37 3965 4610 B f n 7 114 1025 4648 B f n 7 7 1025 4763 B f n 7 7 1025 4763 B f n 531 7 1033 4763 B f n 7 114 1565 4648 B f n 7 7 1565 4763 B f n 1011 7 1573 4763 B f n 7 114 2585 4648 B f n 7 7 2585 4763 B f n 711 7 2593 4763 B f n 7 114 3305 4648 B f n 7 7 3305 4763 B f n 651 7 3313 4763 B f n 7 114 3965 4648 B f n 7 7 3965 4763 B f n 7 7 3965 4763 B f 1032 4862 M ( ) [1]X 1032 4977 M ( ) [1]X 1130 5092 M (Table 2) [61 44 50 28 44 25 1]X 1432 5092 M (-) [1]X 1465 5092 M (1: The candidate ) [50 28 25 61 50 44 25 44 44 50 50 28 50 44 28 44 1]X 2155 5092 M (number and their corresponding confidence level ) [50 50 78 50 44 33 25 44 50 50 25 28 50 44 28 33 25 44 50 33 33 44 39 50 50 50 50 28 50 49 25 44 50 50 33 28 50 44 50 44 44 25 28 44 50 44 28 25 25 25 25 1]X 2201 5210 M (of pelvis radiographs) [50 33 25 50 44 28 50 28 39 25 33 44 50 28 50 49 33 44 50 50 1]X 3043 5210 M ( ) [1]X showpage %%Page: 53 53 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (53) [50 1]X n 1857 1402 2592 3072 B 1 g f [148.395 0 0 -148.395 0 0]/Times-Roman MF gs n 63 162 2652 3102 CB 0 g 2648 3228 M ( ) [1]X gr 2 setlinecap 5 sl 0 g n 3402 3556 M 3363 3569 L 3345 3577 L 3329 3586 L 3314 3593 L 3302 3605 L 3295 3617 L 3289 3633 L 3287 3642 L 3287 3653 L 3290 3676 L 3296 3703 L 3304 3730 L 3313 3759 L 3326 3785 L 3338 3807 L 3345 3817 L 3353 3826 L 3368 3840 L 3385 3853 L 3405 3863 L 3427 3872 L 3449 3878 L 3472 3884 L 3494 3886 L 3515 3886 L 3534 3884 L 3556 3880 L 3577 3872 L 3599 3863 L 3620 3854 L 3638 3841 L 3656 3829 L 3672 3817 L 3682 3804 L 3694 3791 L 3702 3774 L 3709 3759 L 3715 3742 L 3721 3727 L 3727 3696 L 3730 3663 L 3730 3648 L 3728 3632 L 3727 3617 L 3722 3604 L 3715 3592 L 3706 3581 L 3694 3572 L 3679 3567 L 3662 3562 L 3644 3556 L 3623 3553 L 3601 3552 L 3556 3549 L CM 1.484 1.48 scale s SM n 3259 3411 M 3249 3371 L 3236 3332 L 3228 3313 L 3219 3296 L 3209 3280 L 3197 3265 L 3182 3252 L 3167 3240 L 3149 3230 L 3132 3218 L 3094 3200 L 3056 3190 L 3035 3185 L 3014 3181 L 2992 3178 L 2971 3178 L 2950 3178 L 2930 3178 L 2915 3184 L 2900 3190 L 2890 3198 L 2881 3210 L 2876 3224 L 2872 3239 L 2869 3256 L 2869 3274 L 2867 3289 L 2866 3304 L 2866 3335 L 2869 3369 L 2875 3400 L 2879 3414 L 2885 3427 L 2894 3437 L 2903 3448 L 2915 3455 L 2925 3463 L 2936 3472 L 2947 3479 L 2955 3486 L 2964 3495 L 2970 3504 L 2974 3515 L 2982 3532 L 2989 3552 L 2992 3572 L CM 1.484 1.48 scale s SM n 3740 3480 M 3743 3445 L 3745 3429 L 3749 3412 L 3752 3396 L 3758 3380 L 3766 3365 L 3776 3350 L 3789 3335 L 3806 3323 L 3823 3310 L 3844 3296 L 3863 3285 L 3884 3274 L 3905 3267 L 3924 3259 L 3945 3252 L 3963 3244 L 3984 3240 L 4005 3237 L 4024 3236 L 4042 3236 L 4058 3237 L 4073 3243 L 4085 3252 L 4097 3264 L 4104 3279 L 4113 3295 L 4117 3311 L 4125 3331 L 4128 3348 L 4129 3365 L 4129 3383 L 4129 3400 L 4128 3418 L 4125 3439 L 4117 3457 L 4113 3475 L 4107 3489 L 4101 3503 L 4092 3515 L 4083 3522 L 4074 3529 L 4061 3534 L 4039 3544 L 4031 3550 L 4024 3556 L 4012 3572 L 4005 3590 L 3999 3608 L 3996 3627 L CM 1.484 1.48 scale s SM n 2971 3817 M 2955 3831 L 2943 3846 L 2930 3857 L 2921 3871 L 2918 3878 L 2915 3886 L 2910 3903 L 2909 3912 L 2906 3918 L 2903 3923 L 2900 3924 L 2896 3923 L 2890 3918 L 2884 3912 L 2878 3902 L 2872 3894 L 2864 3889 L 2857 3886 L 2854 3886 L 2851 3886 L 2844 3893 L 2836 3902 L 2829 3915 L 2821 3930 L 2817 3946 L 2809 3961 L 2805 3975 L 2801 3986 L 2799 3995 L 2799 4004 L 2801 4018 L 2806 4031 L 2817 4047 L 2821 4056 L 2827 4064 L 2844 4083 L 2851 4092 L 2860 4101 L 2867 4113 L 2872 4124 L 2873 4138 L 2876 4151 L 2878 4182 L 2875 4214 L 2872 4248 L CM 1.484 1.48 scale s SM n 3048 3994 M 3034 4007 L 3020 4019 L 3008 4032 L 2999 4047 L 2992 4061 L 2986 4076 L 2983 4083 L 2982 4093 L 2980 4104 L 2977 4117 L 2976 4133 L 2974 4150 L 2973 4168 L 2971 4190 L 2967 4233 L 2964 4277 L CM 1.484 1.48 scale s SM n 4009 3848 M 4024 3859 L 4037 3871 L 4051 3883 L 4058 3894 L 4061 3900 L 4062 3908 L 4065 3926 L 4065 3935 L 4065 3942 L 4068 3946 L 4073 3949 L 4077 3948 L 4083 3942 L 4091 3936 L 4098 3927 L 4107 3920 L 4113 3914 L 4123 3908 L 4129 3908 L 4137 3914 L 4143 3921 L 4153 3930 L 4160 3942 L 4177 3966 L 4180 3976 L 4186 3986 L 4192 4006 L 4196 4024 L 4196 4038 L 4195 4047 L 4192 4055 L 4189 4062 L 4183 4070 L 4177 4076 L 4166 4080 L 4159 4086 L 4150 4095 L 4143 4105 L 4137 4117 L 4132 4132 L 4128 4148 L 4125 4168 L 4119 4188 L 4113 4231 L 4107 4277 L CM 1.484 1.48 scale s SM n 3947 4016 M 3961 4025 L 3972 4031 L 3978 4038 L 3985 4046 L 3993 4056 L 3999 4070 L 4002 4086 L 4006 4105 L 4008 4127 L 4009 4156 L 4009 4182 L 4010 4212 L 4010 4243 L 4009 4309 L CM 1.484 1.48 scale s SM gs n 224 1343 2652 3102 CB 6 sl n 2759 3123 M 2720 3218 L 2701 3264 L 2686 3319 L 2673 3374 L 2664 3437 L 2658 3506 L 2658 3581 L 2664 3666 L 2673 3756 L 2686 3854 L 2701 3958 L 2723 4068 L 2746 4178 L 2793 4406 L CM 1.484 1.48 scale s SM gr gs n 257 1343 4132 3102 CB 6 sl n 4214 3108 M 4270 3196 L 4296 3243 L 4321 3292 L 4340 3345 L 4359 3409 L 4371 3477 L 4379 3553 L 4382 3641 L 4376 3736 L 4368 3838 L 4356 3945 L 4340 4059 L 4325 4175 L 4287 4417 L CM 1.484 1.48 scale s SM gr gs n 373 278 3376 4167 CB 6 sl n 3467 4439 M 3461 4417 L 3458 4392 L 3461 4369 L 3467 4344 L 3483 4316 L 3509 4285 L 3521 4271 L 3537 4260 L 3549 4254 L 3562 4249 L 3574 4254 L 3587 4260 L 3602 4271 L 3616 4285 L 3641 4316 L 3657 4344 L 3663 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a2M!#:N_{o)(*aVD3861Ҏ HلrE`=Qy~sFLg/[M[[|p-t> xgpذVQLDtA2TŠtE0;V0)_ j x2đf H(EL}x.[md֛?QElSAzX ECb4<_tttbtA|1bnW+yFZ-&\|])vDlWGD,[5{it(Qg %A70|i`ngWs^N0] uxWt7ew{|?*UFj K`qJ, <@LhEDw[[4_?w#^tMT$dÊ]Ryn CEA%:jzTTE \ n+ н҉griؤ#n6Dho ʖŽCEH̰HCE$( U;AlMAl 24w 朤4NBMLL$REbR%c$Z '!T\g2AyPIy4 C>|mf . ɯEDV :S EdHEve@EDhPl+ bEӞDC&-/qTH A`2y0 cЁXRX.Ր~BdK3c հG[bX Z\LDFcEvG.$TuT+&u^ژ Kg&!O`ಇ)QbCjO?(\F63*894 &^m% uO .MSfB Xg!1aDE4i'k0@ v ^%hgj Vh0gfEk.A :#e*3P:Clc_#m/&&`ꔠ v[B/FqwoIWp&Z6QP^+,,@>TIf/s6ksvnn,nJuQu 6?v tEvV vno/k%Aq"-笲 A.CAlL>lPn D sfF$7 Cf.k#bpd")炂`#f \`y%eBA`;kHDh:T$hIG H$5w/ަF@Gjd1z(7`A̩F E Dꋕp@A޲w~N^υ_yxbXfksi&}6xW+S7ؚh7kH8PXPs .(ѓ8ˌИx֢Xx厀?A"^5 zl` C\$ Y9Y#EӠDE>A endimage gr n 1439 239 1932 2412 B f [92 0 0 -92 0 0]/Times-Roman MF 0 g 1992 2527 M (\(a\) The pelvis radiograph) [31 41 31 23 57 46 41 23 46 41 26 45 26 36 23 31 41 46 26 46 45 31 41 46 1]X 2927 2527 M ( ) [1]X n 1439 239 852 4572 B 1 g f 0 g 912 4687 M (\(b\) The pelvis anatomical structure) [31 46 31 23 57 46 41 23 46 41 26 45 26 36 23 41 46 41 26 46 70 26 41 41 26 23 36 26 31 46 41 26 46 31 1]X gs n 28 104 2204 4605 CB 2204 4687 M ( ) [1]X gr n 1199 239 3012 4572 B 1 g f 0 g 3072 4687 M (\(c\) The pelvis model) [31 41 31 23 57 46 41 23 46 41 26 45 26 36 23 70 46 46 41 1]X 3837 4687 M ( ) [1]X n 2295 239 1440 4992 B 1 g f 0 g 1499 5112 M (Fig 2) [51 26 45 23 1]X 1690 5112 M (-) [1]X 1719 5112 M (10: ) [46 46 26 23 1]X [100 0 0 -100 0 0]/Times-Roman MF 1883 5112 M (Illustration of designing of the pelvis model) [31 28 28 50 39 28 33 44 28 28 50 50 25 50 33 25 50 44 39 28 49 50 28 50 49 25 50 33 25 28 50 44 25 50 44 28 50 28 39 25 78 50 50 44 1]X gs n 41 114 3634 5022 CB 3634 5112 M ( ) [1]X gr [92 0 0 -92 0 0]/Times-Roman MF gs n 41 64 1499 5138 CB 1499 5220 M ( ) [1]X gr showpage %%Page: 54 54 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (54) [50 1]X 792 582 M ( ) [1]X 942 812 M ( ) [1]X 792 1042 M ( ) [1]X 792 1272 M ( ) [1]X 792 1502 M ( ) [1]X 792 1732 M ( ) [1]X 792 1962 M ( ) [1]X 792 2217 M ( ) [1]X n 3500 4113 792 972 B 1 g f [84 0 0 -84 0 0]/Times-Roman MF gs n 38 93 852 1002 CB 0 g 852 1075 M ( ) [1]X gr 2 setlinecap 3 sl 0 g n 1954 2558 M 2398 1440 L CM 1.996 2 scale s SM n 2430 1456 M 2422 1384 L 2368 1432 L 2430 1456 L cp e n 1960 2546 M 2426 2314 L CM 1.996 2 scale s SM n 2438 2344 M 2480 2286 L 2408 2286 L 2438 2344 L cp e gs n 932 528 3301 1076 CB n 839 407 3361 1136 B cp gs 1 g e gr CM 1.996 2 scale s SM gr [84 0 0 -84 0 0]/Times-Bold MF 3423 1247 M (Attributes:) [60 28 28 38 24 46 44 28 38 32 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 32 95 3817 1172 CB 3817 1247 M ( ) [1]X gr 3423 1339 M ( Description:) [22 20 22 60 36 32 36 30 24 40 24 24 40 42 1]X 3899 1339 M ( ) [1]X 3423 1421 M ( ) [22 20 22 1]X 3509 1421 M ( ) [1]X [66 0 0 -66 0 0]/Times-Italic MF 3507 1419 M (Size) [34 18 26 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 26 79 3615 1360 CB 3615 1419 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3613 1419 M (,shape ,orientation,) [16 26 34 34 34 30 16 16 34 26 18 30 34 18 34 18 18 34 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 4133 1360 CB 4133 1419 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3423 1511 M ( ) [16 16 16 18 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 36 93 3505 1438 CB 3505 1511 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF gs n 253 75 3505 1438 CB 3505 1497 M (graylevel) [34 26 34 30 18 30 30 30 1]X gr [84 0 0 -84 0 0]/Times-Roman MF gs n 24 79 3755 1438 CB 3755 1497 M ( ) [1]X gr n 923 881 936 2848 B cp gs 1 g e gr CM 1.996 2 scale s SM [84 0 0 -84 0 0]/Times-Bold MF 1000 2957 M (Attributes:) [60 28 28 38 24 46 44 28 38 32 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 95 1394 2882 CB 1394 2957 M ( ) [1]X gr 1000 3051 M ( Component:) [22 20 22 56 40 66 42 40 44 34 44 22 1]X gs n 34 95 1476 2976 CB 1476 3051 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 1074 3131 M (1\)) [34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 1130 3072 CB 1130 3131 M ( ) [1]X gr %%IncludeFont: Helvetica-Oblique [66 0 0 -66 0 0]/Helvetica-Oblique MF 1130 3146 M ( ) [1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 93 1148 3072 CB 1148 3145 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 1224 3131 M (the hip model) [18 34 30 16 34 18 34 16 48 34 34 30 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 79 1588 3072 CB 1588 3131 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 1074 3207 M (2\)) [34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 1130 3148 CB 1130 3207 M ( ) [1]X gr [66 0 0 -66 0 0]/Helvetica-Oblique MF 1130 3222 M ( ) [1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 92 1148 3148 CB 1148 3221 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 1224 3207 M (the iliac mode) [18 34 30 16 18 18 18 34 30 16 48 34 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 79 1602 3148 CB 1602 3207 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 1074 3283 M (3\)) [34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 1130 3224 CB 1130 3283 M ( ) [1]X gr [66 0 0 -66 0 0]/Helvetica-Oblique MF 1130 3298 M ( ) [1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 92 1148 3224 CB 1148 3297 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 1224 3283 M (the pubic model) [18 34 30 16 34 34 34 18 30 16 48 34 34 30 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 79 1652 3224 CB 1652 3283 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 1074 3359 M (4\)) [34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 1130 3300 CB 1130 3359 M ( ) [1]X gr [66 0 0 -66 0 0]/Helvetica-Oblique MF 1130 3374 M ( ) [1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 93 1148 3300 CB 1148 3373 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 1224 3359 M (the femur mode) [18 34 30 16 18 30 48 34 26 16 48 34 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 1640 3300 CB 1640 3359 M ( ) [1]X gr 1000 3455 M ( Semantic Graph) [22 20 22 46 36 66 36 42 24 24 36 22 58 28 38 40 1]X 1604 3455 M ( ) [1]X 910 2809 M (Pelvis Model) [46 36 24 40 24 32 22 74 40 42 36 1]X gs n 30 95 1350 2734 CB 1350 2809 M ( ) [1]X gr 1382 2809 M (Class) [56 24 38 32 1]X gs n 30 95 1564 2734 CB 1564 2809 M ( ) [1]X gr n 923 443 936 3726 B cp gs 1 g e gr CM 1.996 2 scale s SM [84 0 0 -84 0 0]/Times-Bold MF 1000 3837 M (Method:) [80 38 28 46 40 46 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 32 95 1306 3762 CB 1306 3837 M ( ) [1]X gr 1000 3931 M ( ) [22 1]X gs n 32 95 1044 3856 CB 1044 3931 M ( ) [1]X gr 1044 3931 M (ControlStrategy) [56 40 44 22 30 40 24 46 22 28 38 24 36 42 1]X gs n 34 95 1574 3856 CB 1574 3931 M ( ) [1]X gr 1566 3931 M (\(\);) [28 28 1]X gs n 32 95 1646 3856 CB 1646 3931 M ( ) [1]X gr 1036 4041 M (MatchSemanticGraph) [74 38 24 34 44 46 36 66 36 42 24 24 36 58 30 38 40 1]X 1770 4041 M ( ) [1]X 1766 4029 M (\(\)) [28 1]X gs n 32 95 1822 3954 CB 1822 4029 M ( ) [1]X gr 1034 4139 M (FuzzyInference) [46 42 38 38 38 28 44 26 36 30 36 44 36 1]X gs n 28 95 1552 4064 CB 1552 4139 M ( ) [1]X gr 1580 4141 M (\(\);) [28 28 1]X gs n 32 95 1660 4066 CB 1660 4141 M ( ) [1]X gr 3357 1107 M (Hip Model Class) [58 24 42 22 74 40 42 36 24 22 56 24 38 32 1]X gs n 26 95 3923 1032 CB 3923 1107 M ( ) [1]X gr gs n 932 368 3301 1480 CB n 839 247 3361 1540 B cp gs 1 g e gr CM 1.996 2 scale s SM gr [84 0 0 -84 0 0]/Times-Bold MF 3423 1651 M (Method:) [80 38 28 46 40 46 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 32 95 3729 1576 CB 3729 1651 M ( ) [1]X gr 3423 1745 M ( ) [22 20 1]X 3487 1745 M ( ) [1]X 3487 1745 M (MatchHipShape) [74 38 24 34 44 58 24 42 46 42 38 42 1]X gs n 32 95 4029 1670 CB 4029 1745 M ( ) [1]X gr 4021 1745 M (\(\)) [28 1]X gs n 34 95 4077 1670 CB 4077 1745 M ( ) [1]X gr n 1314 3554 M 1474 3554 L CM 1.996 2 scale s SM n 1334 3554 M 1334 3543 1326 3535 1316 3535 c 1305 3535 1297 3543 1297 3554 c 1297 3564 1305 3572 1316 3572 c 1326 3572 1334 3564 1334 3554 c cp e n 1494 3554 M 1494 3543 1486 3535 1476 3535 c 1465 3535 1457 3543 1457 3554 c 1457 3564 1465 3572 1476 3572 c 1486 3572 1494 3564 1494 3554 c cp e n 1310 3694 M 1470 3694 L CM 1.996 2 scale s SM n 1328 3694 M 1328 3683 1320 3675 1310 3675 c 1299 3675 1291 3683 1291 3694 c 1291 3704 1299 3712 1310 3712 c 1320 3712 1328 3704 1328 3694 c cp e n 1488 3694 M 1488 3683 1480 3675 1470 3675 c 1459 3675 1451 3683 1451 3694 c 1451 3704 1459 3712 1470 3712 c 1480 3712 1488 3704 1488 3694 c cp e n 1194 3618 M 1600 3618 L CM 1.996 2 scale s SM n 1214 3619 M 1214 3609 1206 3601 1196 3601 c 1185 3601 1177 3609 1177 3619 c 1177 3628 1185 3636 1196 3636 c 1206 3636 1214 3628 1214 3619 c cp e n 1620 3619 M 1620 3609 1612 3601 1602 3601 c 1591 3601 1583 3609 1583 3619 c 1583 3628 1591 3636 1602 3636 c 1612 3636 1620 3628 1620 3619 c cp e n 1386 3618 M 1470 3682 L CM 1.996 2 scale s SM n 1404 3619 M 1404 3609 1396 3601 1387 3601 c 1377 3601 1369 3609 1369 3619 c 1369 3628 1377 3636 1387 3636 c 1396 3636 1404 3628 1404 3619 c cp e n 1314 3554 M 1398 3624 L CM 1.996 2 scale s SM n 1470 3558 M 1314 3688 L CM 1.996 2 scale s SM 1 sl n 2823 2264 M 2821 2254 L 2817 2246 L 2815 2242 L 2813 2238 L 2811 2234 L 2809 2230 L 2805 2228 L 2801 2224 L 2799 2222 L 2793 2220 L 2785 2216 L 2777 2214 L 2771 2212 L 2767 2212 L 2761 2210 L 2757 2210 L 2753 2210 L 2747 2210 L 2745 2212 L 2741 2214 L 2739 2216 L 2737 2218 L 2735 2220 L 2735 2224 L 2733 2228 L 2733 2232 L 2733 2236 L 2733 2240 L 2733 2246 L 2733 2254 L 2735 2260 L 2737 2264 L 2737 2268 L 2739 2270 L 2741 2272 L 2745 2274 L 2747 2276 L 2749 2278 L 2751 2278 L 2753 2280 L 2755 2282 L 2757 2284 L 2757 2286 L 2759 2290 L 2761 2296 L 2761 2300 L CM 1.996 2 scale s SM n 2931 2280 M 2933 2270 L 2933 2268 L 2933 2264 L 2933 2260 L 2935 2256 L 2937 2254 L 2939 2250 L 2943 2246 L 2947 2244 L 2951 2240 L 2955 2238 L 2959 2234 L 2965 2232 L 2969 2230 L 2973 2230 L 2979 2228 L 2983 2226 L 2987 2224 L 2991 2224 L 2997 2224 L 3001 2224 L 3005 2224 L 3007 2226 L 3011 2228 L 3013 2230 L 3015 2234 L 3017 2238 L 3017 2242 L 3019 2246 L 3019 2250 L 3021 2254 L 3021 2256 L 3021 2260 L 3019 2266 L 3019 2270 L 3017 2274 L 3017 2278 L 3015 2280 L 3013 2284 L 3013 2286 L 3009 2288 L 3007 2290 L 3005 2292 L 2999 2294 L 2997 2294 L 2997 2296 L 2993 2300 L 2991 2304 L 2991 2308 L 2989 2312 L CM 1.996 2 scale s SM gs n 944 852 3289 1892 CB 3 sl n 869 731 3349 1952 B cp gs 1 g e gr CM 1.996 2 scale s SM gr [84 0 0 -84 0 0]/Times-Bold MF 3411 2061 M (Attributes:) [60 28 28 38 24 46 44 28 38 32 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 32 95 3805 1986 CB 3805 2061 M ( ) [1]X gr 3411 2155 M ( ) [22 20 1]X 3475 2155 M (Description:) [60 36 32 36 30 24 40 24 24 40 42 1]X 3887 2155 M ( ) [1]X 3411 2235 M ( ) [22 20 22 1]X 3497 2235 M ( ) [1]X [66 0 0 -66 0 0]/Times-Italic MF 3495 2233 M (Size, shape, orientation) [34 18 26 30 16 16 26 34 34 34 30 16 16 34 26 18 30 34 18 34 18 18 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 79 4123 2174 CB 4123 2233 M ( ) [1]X gr 3411 2325 M ( Component) [22 20 22 56 40 66 42 40 44 34 44 1]X gs n 34 95 3865 2250 CB 3865 2325 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3487 2407 M (1\)) [34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 79 3543 2348 CB 3543 2407 M ( ) [1]X gr [66 0 0 -66 0 0]/Helvetica-Oblique MF 3543 2422 M ( ) [1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 92 3561 2348 CB 3561 2421 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3635 2407 M (the left iliac bone) [18 34 30 16 18 30 18 18 16 18 20 18 34 30 16 34 34 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 79 4101 2348 CB 4101 2407 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3487 2481 M (2\)) [34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 79 3543 2422 CB 3543 2481 M ( ) [1]X gr [66 0 0 -66 0 0]/Helvetica-Oblique MF 3543 2496 M ( ) [1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 93 3561 2422 CB 3561 2495 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3635 2481 M (the right iliac bone) [18 34 30 16 26 18 34 34 18 16 18 18 18 34 30 16 34 34 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 28 79 4145 2422 CB 4145 2481 M ( ) [1]X gr 3411 2579 M ( Semantic Graph) [22 20 22 46 36 66 36 42 24 24 36 22 58 28 38 40 1]X 4015 2579 M ( ) [1]X 3357 1947 M (Iliac Model) [28 24 24 38 34 22 74 40 42 36 1]X gs n 30 95 3743 1872 CB 3743 1947 M ( ) [1]X gr 3777 1943 M (Class) [56 24 38 32 1]X gs n 32 95 3959 1868 CB 3959 1943 M ( ) [1]X gr gs n 944 362 3289 2596 CB 3 sl n 869 241 3349 2656 B cp gs 1 g e gr CM 1.996 2 scale s SM gr [84 0 0 -84 0 0]/Times-Bold MF 3411 2767 M (Method:) [80 38 28 46 40 46 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 32 95 3717 2692 CB 3717 2767 M ( ) [1]X gr 3411 2861 M ( ) [22 20 1]X 3475 2861 M ( ) [1]X 3475 2861 M (MatchIliacShape) [74 38 24 34 44 28 22 24 38 36 44 44 38 42 1]X gs n 34 95 4041 2786 CB 4041 2861 M ( ) [1]X gr 4033 2861 M (\(\)) [28 1]X gs n 34 95 4089 2786 CB 4089 2861 M ( ) [1]X gr 3 sl n 1954 2546 M 2470 3078 L CM 1.996 2 scale s SM n 2442 3098 M 2510 3120 L 2486 3052 L 2442 3098 L cp e 1 sl n 2845 3180 M 2835 3184 L 2831 3184 L 2827 3186 L 2823 3190 L 2819 3192 L 2817 3194 L 2817 3198 L 2817 3200 L 2817 3202 L 2817 3208 L 2819 3214 L 2821 3220 L 2823 3228 L 2825 3234 L 2829 3238 L 2831 3242 L 2833 3244 L 2837 3246 L 2841 3250 L 2845 3252 L 2851 3254 L 2855 3256 L 2861 3256 L 2867 3258 L 2871 3258 L 2877 3256 L 2881 3256 L 2887 3254 L 2893 3252 L 2897 3250 L 2901 3246 L 2907 3244 L 2909 3242 L 2913 3238 L 2915 3234 L 2917 3232 L 2919 3228 L 2921 3224 L 2921 3220 L 2923 3212 L 2925 3206 L 2925 3202 L 2923 3198 L 2923 3194 L 2923 3192 L 2921 3188 L 2919 3186 L 2915 3184 L 2911 3182 L 2907 3182 L 2903 3180 L 2899 3180 L 2893 3180 L 2881 3178 L CM 1.996 2 scale s SM gs n 946 512 3287 3004 CB 3 sl n 885 391 3347 3064 B cp gs 1 g e gr CM 1.996 2 scale s SM gr [84 0 0 -84 0 0]/Times-Bold MF 3407 3171 M (Attributes:) [60 28 28 38 24 46 44 28 38 32 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 95 3801 3096 CB 3801 3171 M ( ) [1]X gr 3407 3265 M ( Description:) [22 20 22 60 36 32 36 30 24 40 24 24 40 42 1]X gs n 34 95 3883 3190 CB 3883 3265 M ( ) [1]X gr 3407 3345 M ( ) [22 20 22 1]X gs n 34 95 3493 3270 CB 3493 3345 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3489 3343 M (Size, ) [34 18 26 30 16 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 3629 3284 CB 3629 3343 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3627 3343 M (shape) [26 34 34 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 26 79 3785 3284 CB 3785 3343 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3783 3343 M (,orientation) [16 34 26 18 30 34 18 34 18 18 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 26 79 4097 3284 CB 4097 3343 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3407 3435 M ( ) [16 16 16 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 34 93 3471 3362 CB 3471 3435 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF gs n 253 75 3469 3362 CB 3469 3421 M (graylevel) [34 26 34 30 18 30 30 30 1]X gr [84 0 0 -84 0 0]/Times-Roman MF gs n 24 79 3719 3362 CB 3719 3421 M ( ) [1]X gr 3 sl n 1954 2546 M 2502 4024 L CM 1.996 2 scale s SM n 2472 4032 M 2524 4078 L 2532 4008 L 2472 4032 L cp e 3353 3033 M (Pubic Model) [46 42 40 24 36 22 74 40 44 36 1]X gs n 26 95 3781 2958 CB 3781 3033 M ( ) [1]X gr 3795 3033 M (Class) [56 24 38 32 1]X gs n 32 95 3977 2958 CB 3977 3033 M ( ) [1]X gr gs n 948 362 3285 3390 CB n 885 241 3345 3450 B cp gs 1 g e gr CM 1.996 2 scale s SM gr [84 0 0 -84 0 0]/Times-Bold MF 3407 3559 M (Method:) [80 38 28 46 40 46 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 95 3713 3484 CB 3713 3559 M ( ) [1]X gr 3407 3653 M ( ) [22 20 1]X gs n 34 95 3471 3578 CB 3471 3653 M ( ) [1]X gr 3469 3653 M (MatchPubicShape) [74 38 24 34 44 46 42 40 24 36 46 44 38 42 1]X gs n 30 95 4077 3578 CB 4077 3653 M ( ) [1]X gr 4069 3653 M (\(\)) [28 1]X gs n 32 95 4125 3578 CB 4125 3653 M ( ) [1]X gr 1 sl n 2741 4100 M 2737 4102 L 2735 4106 L 2731 4110 L 2729 4112 L 2727 4114 L 2727 4116 L 2725 4122 L 2725 4124 L 2725 4126 L 2723 4126 L 2721 4126 L 2719 4124 L 2717 4122 L 2715 4120 L 2713 4118 L 2711 4116 L 2709 4116 L 2709 4118 L 2705 4122 L 2705 4124 L 2703 4128 L 2701 4132 L 2699 4136 L 2697 4140 L 2697 4144 L 2697 4146 L 2697 4148 L 2697 4152 L 2699 4156 L 2701 4160 L 2703 4162 L 2703 4164 L 2709 4168 L 2711 4172 L 2713 4174 L 2715 4176 L 2715 4180 L 2715 4184 L 2717 4186 L 2717 4194 L 2717 4204 L 2715 4212 L CM 1.996 2 scale s SM n 2761 4146 M 2759 4148 L 2753 4152 L 2751 4156 L 2749 4160 L 2745 4162 L 2745 4166 L 2745 4168 L 2745 4172 L 2745 4174 L 2743 4178 L 2743 4182 L 2743 4186 L 2743 4192 L 2741 4196 L 2741 4208 L 2739 4220 L CM 1.996 2 scale s SM n 3009 4106 M 3013 4110 L 3017 4112 L 3021 4116 L 3023 4118 L 3023 4120 L 3023 4122 L 3023 4128 L 3023 4130 L 3025 4132 L 3027 4134 L 3027 4132 L 3029 4132 L 3031 4130 L 3033 4128 L 3035 4126 L 3037 4124 L 3039 4122 L 3041 4122 L 3043 4124 L 3045 4126 L 3047 4128 L 3049 4132 L 3053 4138 L 3055 4140 L 3055 4144 L 3057 4148 L 3059 4152 L 3059 4158 L 3057 4160 L 3057 4162 L 3057 4164 L 3055 4166 L 3053 4166 L 3051 4168 L 3049 4170 L 3047 4172 L 3045 4174 L 3043 4178 L 3041 4182 L 3041 4186 L 3039 4192 L 3039 4196 L 3037 4208 L 3035 4220 L CM 1.996 2 scale s SM n 2993 4150 M 2997 4154 L 2999 4154 L 3001 4156 L 3003 4158 L 3005 4162 L 3007 4164 L 3007 4170 L 3009 4174 L 3009 4180 L 3009 4188 L 3009 4194 L 3009 4202 L 3009 4212 L 3009 4228 L CM 1.996 2 scale s SM gs n 948 834 3285 3836 CB 3 sl n 885 713 3345 3896 B cp gs 1 g e gr CM 1.996 2 scale s SM gr [84 0 0 -84 0 0]/Times-Bold MF 3407 4005 M (Attributes:) [60 28 28 38 24 46 44 28 38 32 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 95 3801 3930 CB 3801 4005 M ( ) [1]X gr 3407 4097 M ( Description:) [22 20 22 60 36 32 36 30 24 40 24 24 40 42 1]X gs n 34 95 3883 4022 CB 3883 4097 M ( ) [1]X gr 3407 4179 M ( ) [22 20 22 1]X gs n 34 95 3493 4104 CB 3493 4179 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3489 4177 M (Size, ) [34 18 26 30 16 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 3629 4118 CB 3629 4177 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3627 4177 M (shape) [26 34 34 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 26 79 3785 4118 CB 3785 4177 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3783 4177 M (,orientation) [16 34 26 18 30 34 18 34 18 18 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 26 79 4097 4118 CB 4097 4177 M ( ) [1]X gr 3407 4267 M ( Component) [22 20 22 56 40 66 42 40 44 34 44 1]X gs n 32 95 3861 4192 CB 3861 4267 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3407 4349 M ( 1\) ) [16 16 16 18 16 34 22 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 36 79 3561 4290 CB 3561 4349 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3559 4349 M (the left iliac bone) [18 34 30 16 18 30 18 18 16 18 20 18 34 30 16 34 34 34 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 26 79 4025 4290 CB 4025 4349 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF 3407 4425 M ( 2) [16 16 16 18 16 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 34 79 3523 4366 CB 3523 4425 M ( ) [1]X gr [66 0 0 -66 0 0]/Times-Italic MF gs n 532 75 3521 4366 CB 3521 4425 M (\)the right iliac bone) [22 18 34 30 16 26 18 34 34 18 16 18 18 18 34 30 16 34 34 34 1]X gr [84 0 0 -84 0 0]/Times-Roman MF gs n 30 79 4053 4366 CB 4053 4425 M ( ) [1]X gr 3407 4515 M ( Semantic Graph) [22 20 22 46 36 66 36 42 24 24 36 22 58 28 38 40 1]X 4011 4515 M ( ) [1]X 3347 3871 M (Femur Model Class) [46 36 66 42 28 22 74 40 42 36 24 22 56 22 38 32 1]X gs n 30 95 4005 3796 CB 4005 3871 M ( ) [1]X gr gs n 948 374 3285 4544 CB 3 sl n 885 253 3345 4604 B cp gs 1 g e gr CM 1.996 2 scale s SM gr [84 0 0 -84 0 0]/Times-Bold MF 3407 4715 M (Metho) [80 38 28 46 1]X 3639 4715 M (d:) [46 1]X [84 0 0 -84 0 0]/Times-Roman MF gs n 30 95 3713 4640 CB 3713 4715 M ( ) [1]X gr 3407 4809 M ( ) [22 20 1]X gs n 34 95 3471 4734 CB 3471 4809 M ( ) [1]X gr 3469 4809 M (MatchFemurShape) [74 38 24 34 44 46 36 66 40 30 44 44 38 42 1]X gs n 34 95 4105 4734 CB 4105 4809 M ( ) [1]X gr 4097 4809 M (\(\)) [28 1]X gs n 32 95 4153 4734 CB 4153 4809 M ( ) [1]X gr [92 0 0 -92 0 0]/Times-Roman MF 1656 4980 M (Fig 2) [52 24 44 24 1]X 1846 4980 M (-) [1]X 1876 4980 M (11: The class diagram of the pelvis model) [46 46 24 24 24 24 58 44 38 24 40 24 42 36 36 24 46 24 42 44 31 42 68 24 46 30 24 26 46 38 24 48 40 24 46 24 36 26 70 46 46 40 1]X 3455 4980 M ( ) [1]X n 1330 2328 M 1320 2330 L 1316 2332 L 1312 2334 L 1310 2336 L 1306 2338 L 1304 2342 L 1304 2346 L 1302 2348 L 1302 2350 L 1304 2356 L 1304 2362 L 1306 2368 L 1310 2376 L 1312 2382 L 1316 2386 L 1316 2390 L 1318 2392 L 1322 2394 L 1326 2398 L 1332 2400 L 1336 2402 L 1342 2404 L 1348 2406 L 1352 2406 L 1358 2406 L 1362 2406 L 1368 2404 L 1372 2402 L 1378 2400 L 1382 2398 L 1386 2396 L 1392 2392 L 1394 2390 L 1398 2386 L 1400 2384 L 1402 2380 L 1404 2376 L 1406 2372 L 1406 2368 L 1408 2360 L 1410 2352 L 1410 2350 L 1408 2346 L 1408 2342 L 1408 2338 L 1406 2336 L 1404 2334 L 1400 2330 L 1396 2330 L 1392 2328 L 1388 2328 L 1384 2326 L 1378 2326 L 1368 2326 L CM 1.996 2 scale s SM n 1296 2292 M 1294 2282 L 1290 2274 L 1288 2268 L 1286 2266 L 1284 2262 L 1282 2258 L 1278 2254 L 1274 2252 L 1270 2248 L 1266 2246 L 1256 2242 L 1246 2240 L 1242 2238 L 1238 2238 L 1232 2236 L 1226 2236 L 1222 2236 L 1216 2236 L 1214 2238 L 1210 2240 L 1208 2242 L 1206 2244 L 1204 2248 L 1202 2252 L 1202 2256 L 1202 2260 L 1202 2264 L 1202 2266 L 1202 2274 L 1202 2282 L 1204 2290 L 1204 2294 L 1206 2296 L 1208 2298 L 1210 2302 L 1214 2304 L 1216 2306 L 1218 2308 L 1220 2308 L 1224 2310 L 1226 2312 L 1226 2314 L 1228 2318 L 1230 2322 L 1230 2326 L 1232 2332 L CM 1.996 2 scale s SM n 1412 2310 M 1412 2300 L 1412 2296 L 1414 2292 L 1414 2288 L 1416 2284 L 1418 2282 L 1420 2278 L 1424 2274 L 1428 2272 L 1432 2268 L 1436 2266 L 1442 2262 L 1446 2260 L 1452 2258 L 1456 2256 L 1460 2254 L 1466 2252 L 1470 2252 L 1474 2250 L 1480 2250 L 1484 2250 L 1488 2250 L 1492 2252 L 1494 2254 L 1496 2258 L 1498 2260 L 1500 2264 L 1502 2268 L 1504 2274 L 1504 2278 L 1504 2282 L 1504 2286 L 1504 2290 L 1504 2294 L 1504 2298 L 1502 2304 L 1500 2308 L 1500 2312 L 1498 2314 L 1496 2318 L 1494 2318 L 1492 2320 L 1488 2322 L 1484 2324 L 1482 2326 L 1480 2328 L 1476 2330 L 1474 2336 L 1474 2340 L 1472 2344 L CM 1.996 2 scale s SM n 1226 2390 M 1224 2392 L 1220 2396 L 1218 2400 L 1214 2402 L 1214 2404 L 1214 2406 L 1212 2410 L 1212 2412 L 1212 2414 L 1212 2414 L 1210 2416 L 1208 2414 L 1208 2414 L 1206 2412 L 1204 2410 L 1204 2408 L 1202 2406 L 1200 2406 L 1200 2406 L 1198 2406 L 1196 2408 L 1194 2410 L 1194 2414 L 1192 2416 L 1190 2420 L 1188 2424 L 1188 2428 L 1186 2430 L 1186 2432 L 1186 2434 L 1186 2438 L 1188 2440 L 1190 2444 L 1192 2446 L 1192 2448 L 1196 2452 L 1198 2456 L 1200 2458 L 1202 2460 L 1204 2462 L 1204 2466 L 1204 2470 L 1204 2476 L 1204 2484 L 1204 2492 L CM 1.996 2 scale s SM n 1246 2432 M 1242 2434 L 1238 2438 L 1236 2442 L 1234 2444 L 1232 2448 L 1230 2452 L 1230 2454 L 1230 2456 L 1230 2458 L 1228 2462 L 1228 2466 L 1228 2468 L 1228 2474 L 1226 2478 L 1226 2488 L 1226 2500 L CM 1.996 2 scale s SM n 1476 2396 M 1480 2400 L 1482 2402 L 1486 2404 L 1488 2408 L 1488 2410 L 1490 2412 L 1490 2416 L 1490 2418 L 1490 2418 L 1490 2420 L 1492 2420 L 1492 2420 L 1494 2420 L 1496 2418 L 1498 2416 L 1500 2414 L 1502 2412 L 1504 2412 L 1506 2412 L 1506 2412 L 1508 2414 L 1510 2416 L 1512 2418 L 1516 2424 L 1518 2428 L 1518 2430 L 1520 2434 L 1522 2438 L 1522 2442 L 1520 2444 L 1520 2446 L 1520 2448 L 1518 2450 L 1516 2450 L 1514 2452 L 1512 2454 L 1510 2456 L 1508 2458 L 1506 2462 L 1506 2464 L 1504 2468 L 1504 2474 L 1502 2478 L 1502 2488 L 1500 2500 L CM 1.996 2 scale s SM n 1462 2438 M 1466 2440 L 1468 2440 L 1468 2442 L 1470 2444 L 1472 2446 L 1474 2450 L 1474 2454 L 1476 2458 L 1476 2464 L 1476 2470 L 1476 2478 L 1476 2484 L 1476 2492 L 1476 2508 L CM 1.996 2 scale s SM n 1170 2226 M 1166 2236 L 1162 2248 L 1158 2260 L 1154 2272 L 1150 2286 L 1148 2294 L 1148 2302 L 1148 2310 L 1146 2318 L 1146 2328 L 1146 2338 L 1146 2348 L 1148 2358 L 1148 2368 L 1150 2380 L 1152 2392 L 1154 2404 L 1158 2430 L 1162 2456 L 1168 2482 L 1174 2510 L 1180 2538 L CM 1.996 2 scale s SM n 1524 2220 M 1530 2232 L 1538 2242 L 1544 2254 L 1550 2266 L 1554 2280 L 1556 2286 L 1560 2294 L 1560 2302 L 1562 2312 L 1564 2320 L 1564 2330 L 1564 2340 L 1564 2352 L 1564 2362 L 1564 2374 L 1562 2386 L 1562 2400 L 1558 2426 L 1554 2454 L 1550 2482 L 1546 2510 L 1542 2540 L CM 1.996 2 scale s SM n 1342 2546 M 1340 2540 L 1340 2534 L 1340 2532 L 1340 2528 L 1340 2526 L 1342 2524 L 1344 2520 L 1346 2516 L 1350 2512 L 1352 2510 L 1356 2506 L 1358 2504 L 1362 2502 L 1366 2500 L 1368 2502 L 1372 2504 L 1374 2506 L 1378 2510 L 1382 2512 L 1384 2516 L 1386 2520 L 1388 2524 L 1390 2526 L 1390 2528 L 1390 2532 L 1390 2534 L 1390 2540 L 1388 2546 L CM 1.996 2 scale s SM n 456 327 2572 1268 B 1 g f 0 g n 2651 1300 M 2646 1310 L 2644 1318 L 2640 1328 L 2636 1340 L 2634 1350 L 2634 1356 L 2632 1364 L 2632 1370 L 2632 1378 L 2632 1384 L 2632 1392 L 2632 1400 L 2632 1410 L 2634 1418 L 2634 1428 L 2636 1436 L 2636 1446 L 2640 1466 L 2644 1490 L 2648 1510 L 2653 1534 L 2657 1556 L CM 1.996 2 scale s SM n 2935 1298 M 2941 1306 L 2945 1314 L 2951 1324 L 2955 1334 L 2959 1346 L 2961 1352 L 2963 1358 L 2965 1364 L 2965 1372 L 2965 1380 L 2967 1386 L 2967 1396 L 2967 1404 L 2967 1414 L 2967 1422 L 2965 1432 L 2965 1444 L 2963 1464 L 2959 1486 L 2957 1510 L 2953 1534 L 2949 1558 L CM 1.996 2 scale s SM n 2787 1562 M 2787 1558 L 2787 1552 L 2787 1550 L 2787 1548 L 2787 1546 L 2787 1544 L 2789 1540 L 2791 1538 L 2793 1534 L 2797 1532 L 2799 1530 L 2801 1526 L 2805 1526 L 2807 1524 L 2809 1526 L 2811 1526 L 2815 1530 L 2817 1532 L 2819 1534 L 2821 1538 L 2823 1540 L 2825 1544 L 2827 1546 L 2827 1548 L 2827 1550 L 2827 1552 L 2827 1558 L 2825 1562 L CM 1.996 2 scale s SM 3 sl n 3623 2610 M 3841 2610 L CM 1.996 2 scale s SM n 3643 2611 M 3643 2600 3634 2591 3624 2591 c 3613 2591 3604 2600 3604 2611 c 3604 2621 3613 2630 3624 2630 c 3634 2630 3643 2621 3643 2611 c cp e n 3861 2611 M 3861 2600 3852 2591 3842 2591 c 3831 2591 3822 2600 3822 2611 c 3822 2621 3831 2630 3842 2630 c 3852 2630 3861 2621 3861 2611 c cp e n 3627 4558 M 3863 4560 L CM 1.996 2 scale s SM n 3647 4559 M 3647 4548 3638 4539 3628 4539 c 3617 4539 3608 4548 3608 4559 c 3608 4569 3617 4578 3628 4578 c 3638 4578 3647 4569 3647 4559 c cp e n 3883 4559 M 3883 4548 3875 4539 3865 4539 c 3854 4539 3846 4548 3846 4559 c 3846 4569 3854 4578 3865 4578 c 3875 4578 3883 4569 3883 4559 c cp e showpage %%Page: 55 55 %%PageBoundingBox: 13 13 599 779 %%BeginPageSetup %%EndPageSetup 13 779 translate 72 600 div dup neg scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate [100 0 0 -100 0 0]/Times-Roman MF 792 6167 M ( ) [1]X 4292 6168 M (55) [50 1]X n 1857 1444 792 942 B 1 g f 260 210 24 780 1737 1384 852 972 false true /setup3binaryproc load beginimage doNimage 0 K" ,Jb\&bIH:, G*n \j_'\1JD0* I$ zHs* \SI5Si7\ORs>=J?T ʰ<4KNDTTҎ[$߳47ln6 EQԕ-LS:Ϸ,9,:)YNו}FX TyC? /詝kΏJp&Fmft^YW,vF]D}I݄ME%T^D`(fZh>l[im'& 7\gzI[wa&QH0Æ &ËH:Nǰ.a;2A'ә?p\Lj8Hyena(be6#S·9pLȎeڟ3 )?"5AS7'TP6)X\"a,.QE9T圬'Ti>YGTJXS_p] 5TG!)a }A g/#̒ ';AktG OC8 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