Computer Vision and Image Processing#

This jupyter-book contains my notes for the Computer Vision and Image Processing course during the Fall-2022 semester taught by Professor Junsong Yuan.

Course description#

This course is an introduction to those areas of Artificial Intelligence that deal with fundamental issues and techniques of computer vision and image processing. The emphasis is on physical, mathematical, and information-processing aspects of computational vision and image processing. Topics to be covered include image formation, 3-D vision, edge detection, image convolution, extraction of features such as color, texture, and shape, image segmentation, object detection, and computer vision system architectures and applications.

How to navigate through these notes#

The sections on the left hand side of this book indicate the chapters and the navigation on the right hand side in individual page is a sub-section in a chapter. Search functionality works throughout the book.

Acknowledgments#

The entire work is gathered from the lecture slides and lecture videos of CSE-573 Computer Vision and Image Processing course at UB. All the work is owned by the course instructors. These notes have been hosted after receiving permission from the course instructor.

Reference books#

  • Computer Vision: Algorithms and Applications, by Richard Szeliski