Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

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Springer Science & Business Media, Sep 28, 2006 - Computers - 776 pages
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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.
 

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Contents

Cluster Analysis for Relational Data
3
Cluster Analysis for Object Data
11
Classifier Design
183
Image Processing and Computer Vision
547
References cited in the text
680
183
701
190
718
196
735
References not cited in the text
743
Acronyms and abbreviations
753
222
761
269
767
681
769
410
774
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About the author (2006)

Bezdek is a professor of computer science at the University of Western Florida.