Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Front Cover
Springer Science & Business Media, Aug 31, 1999 - Computers - 776 pages
2 Reviews
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

What people are saying - Write a review

User Review - Flag as inappropriate

This is a very informative source. The information it provided was invaluable to my continued research in pattern recognition and image processing.


Pattern Recognition
Cluster Analysis for Object Data
Cluster Analysis for Relational Data
Classifier Design
Image Processing and Computer Vision
References cited in the text
References not cited in the text
Acronyms and abbreviations
Table I Fisher 1936

Other editions - View all

Common terms and phrases

Popular passages

Page 687 - Information Combination Operators for Data Fusion: A Comparative Review with Classification," IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.
Page 743 - Estimation of CSF, white and gray matter volumes in hydrocephalic children using fuzzy clustering of MR images".

References to this book

All Book Search results »