UB - University at Buffalo, The State University of New York Computer Science and Engineering

CSE 473: Introduction to Computer Vision and Image Processing

Introduction to Computer Vision and Image Processing

Introduces those areas of artificial intelligence that relate to fundamental issues and techniques of computer vision and image processing. Emphasizes physical, mathematical, and image-processing aspects of vision. Topics include image formation, edge detection, segmentation, convolution, image-enhancement techniques, extraction of features (such as color, texture, and shape), object detection, 3-D vision, and computer system architectures and applications.

Departmental senior standing or permission of instructor CSE 305

Course Instances
Semester Section Title Instructor Credit Hours Enrolled
Fall 2013 LR Comp Vision & Image Proc Dr. Chang Wen Chen 4 22/30
Summer 2013 LR Comp Vision & Image Proc Staff 4 0/20
Fall 2012 LR Computer Vision and Image Processing Dr. Chang Wen Chen 4 36/45
Fall 2011 LR Comp Vision & Image Proc Dr. Chang Wen Chen 4 25/25
Fall 2010 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 16/25
Spring 2010 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 15/20
Fall 2008 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 15/20
Fall 2007 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 11/18
Fall 2006 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 10/18
Fall 2005 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 10/15
Fall 2004 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 12/15
Fall 2003 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 14/20
Fall 2002 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 12/14
Fall 2001 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 9/15
Fall 2000 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 14/25
Spring 2000 LR Comp Vision & Image Proc Dr. Peter D. Scott 4 10/26
Spring 1999 LEC Comp Vision & Image Proc Staff 4 17/30
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