Handbook of Computer Vision Algorithms in Image Algebra
Gerhard X. Ritter
and Joseph N. Wilson
University of Florida,
Gainesville, FL
Features
- Presents a brief survey of computer vision algorithms
- Serves as a reference for computer vision algorithm developers
as well as algorithm developers using the
image algebra C++
object library
iac++
- Designed to train the practitioner in formulating his
algorithms and ideas using the succinct mathematical language
provided by image algebra
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. Neural Networks
and Cellular Automata. Appendix: The Image Algebra C++ Library.
Index.
Availability
April 1996, c. 384 pp., ISBN: 0-8493-2636-2, CRC Press, Inc., $69.95.
Order Toll Free 800/272-7737 or Fax 800/374-3401.
