Handbook of Computer Vision Algorithms in Image Algebra

by Joseph N. Wilson, Gerhard X. Ritter

Overview

Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation

Product Details

ISBN-13:	9781040065389
Publisher:	CRC Press
Publication date:	09/21/2000
Sold by:	Barnes & Noble
Format:	eBook
Pages:	448
File size:	32 MB
Note:	This product may take a few minutes to download.

About the Author

Joseph N. Wilson, Gerhard X. Ritter

Table of Contents

Image Algebra. Image Enhancement Techniques. Edge Detection and Boundary Finding Techniques. Thresholding Techniques. Thinning and Skeletonizing. Connected Component Algorithms. Morphological Transforms and Techniques. Linear Image Transforms. Pattern Matching and Shape Detection. Image Features and Descriptors. Geometric Image Transformation. Neural Networks and Cellular Automata. Appendix: The Image Algebra C++ Library. Index.

Editorial Reviews

This textbook surveys techniques commonly used in computer vision algorithm development and introduces the portable iaC++ library. The second edition adds a chapter on geometric image transformations. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

"Every person who uses computer image processing...who is planning to use image processing...who is involved in the purchase of computer systems or software that involve image processing...should read this book. And if you are not in one of the above groups, you might want to read it anyway."
- Microscopy Research and Technique

From the Publisher