Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

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Springer Science & Business Media, Aug 31, 1999 - 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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This is a very informative source. The information it provided was invaluable to my continued research in pattern recognition and image processing.

Contents

Pattern Recognition
1
Cluster Analysis for Object Data
11
Cluster Analysis for Relational Data
137
Classifier Design
183
Image Processing and Computer Vision
547
References cited in the text
681
References not cited in the text
743
Acronyms and abbreviations
753
Table I Fisher 1936
759
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