CSE 473LEC - 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.

Credits: 3

Grading
Graded (GRD)

Typically Offered:
Fall, Spring

Requisites:
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.