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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing : The Handbooks of Fuzzy Sets - James C. Bezdek

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

The Handbooks of Fuzzy Sets

Hardcover Published: 31st August 1999
ISBN: 9780792385219
Number Of Pages: 776

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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.

Series Foreword
Pattern Recognitionp. 1
Fuzzy models for pattern recognitionp. 1
Why fuzzy pattern recognition?p. 7
Overview of the volumep. 8
Cluster Analysis for Object Datap. 11
Cluster analysisp. 11
Batch point-prototype clustering modelsp. 14
Non point-prototype clustering modelsp. 39
Cluster Validityp. 87
Feature Analysisp. 121
Cluster Analysis for Relational Datap. 137
Relational Datap. 137
Object Data to Relational Datap. 146
Hierarchical Methodsp. 149
Clustering by decomposition of fuzzy relationsp. 153
Relational clustering with objective functionsp. 158
Cluster validity for relational modelsp. 178
Classifier Designp. 183
Classifier design for object datap. 183
Prototype classifiersp. 190
Methods of prototype generationp. 201
Nearest neighbor classifiersp. 241
The Fuzzy Integralp. 253
Fuzzy Rule-Based Classifiersp. 268
Neural-like architectures for classificationp. 370
Adaptive resonance modelsp. 413
Fusion techniquesp. 442
Syntactic pattern recognitionp. 491
Image Processing and Computer Visionp. 547
Introductionp. 547
Image Enhancementp. 550
Edge Detection and Edge-Enhancementp. 562
Edge Linkingp. 572
Segmentationp. 579
Boundary Description and Surface Approximationp. 601
Representation of Image Objects as Fuzzy Regionsp. 624
Spatial Relationsp. 639
Perceptual Groupingp. 651
High-Level Visionp. 658
References cited in the textp. 681
References not cited in the textp. 743
App. 1 Acronyms and abbreviationsp. 753
The Iris Data: Table I, Fisher (1936)p. 759
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792385219
ISBN-10: 0792385217
Series: The Handbooks of Fuzzy Sets
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 776
Published: 31st August 1999
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 23.5 x 15.5  x 4.45
Weight (kg): 2.83