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CSE 473

Introduction to Computer Vision and Image Processing

University at Buffalo 3 credits Computer Science & Engineering

Course Description

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. Prerequisites: CSE 250 AND (MTH 411 OR STA 301 and STA 301 OR EAS 305 ) AND MTH 309 AND Computer Science, Computer Engineering, or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor.

Code
CSE 473
Credits
3
Subject
Computer Science & Engineering

Programs That Include This Course

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