Image Processing and Computer Vision

Semester: 
Fall
Image Processing and Computer Vision

Course Description

It is an introductory course to the fundamentals of digital image processing emphasizing general principles of image processing. We expect to cover the following topics: image and camera fundamentals, color representations, point operations, image filtering and convolution, morphological image processing, image enhancement, restoration, and interpolation, image segmentation, feature extraction, image registration, image matching and recognition tasks.

Credit Hour: 3 hr

Text Books:

R. C. Gonzalez, R. E. Woods, “Digital Image Processing,“ 3rd edition, Prentice-Hall, 2008.

Al Bovik (ed.), “The Essential Guide to Image Processing,“ Academic Press, 2009

R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing using Matlab,“ 2nd edition, Pearson-Prentice-Hall, 2009.

Topics:

  • Introduction to Digital Image Processing
  • Image and camera fundamentals
  • Color representations
  • Point operations
  • Image filtering and convolution
  • Morphological image processing
  • Image enhancement
  • Image restoration
  • Image interpolation
  • Image segmentation
  • Image features
  • Image matching and object recognition
Related materials
Tourism