Digital Image Processing and Computer Vision 1st Edition  (English, Paperback, Milan Sonka, Roger Boyle, Vaclav Hlavac)

This robust text provides deep and wide coverage of the full range of topics encountered in the field of image processing and computer vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and computer vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.

Key Feature

• A stand-alone MATLAB companion book with an accompanying web page contains short answer questions and problems of varying difficulty, frequently requiring practical usage of computer tools and/or development of application programs
• Each chapter is supported by an extensive list of exercises
• The book is supported by an Appendix which has a list of references from each chapter
• A selection of algorithms is summarized and presented formally in a manner that should aid implementation
• Each chapter further includes a concise Summary section
• The book has eight color plates which show the color version of certain figures

Table of Contents
1. Introduction
2. The Image, its Representations and Properties
3. The Image, its Mathematical and Physical Background
4. Data Structures for Image Analysis
5. Image Pre-Processing
6. Segmentation I
7. Segmentation II
8. Shape Representation and Description
9. Object Recognition
10. Image Understanding
11. 3D Vision, Geometry
12. Use of 3D Vision
13. Mathematical Morphology
14. Image Data Compression
15. Texture
16. Motion Analysis