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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

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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.

Author(s): James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil Pal
Series: The Handbooks of Fuzzy Sets
Edition: 1
Publisher: Springer
Year: 2005

Language: English
Pages: 785

front-matter......Page 1
1Pattern Recognition......Page 15
2Cluster Analysis for Object Data......Page 25
3Cluster Analysis for Relational Data......Page 151
4Classifier Design......Page 197
5Image Processing and Computer Vision......Page 561
6Image Processing and Computer Vision......Page 692