Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (Paperback, Softcover reprint of the original 1st ed. 1999)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The Handbooks of Fuzzy Sets, 4
Release date:	March 2005
First published:	1999
Authors:	James C. Bezdek • James Keller • Raghu Krisnapuram • Nikhil Pal
Dimensions:	235 x 155 x 40mm (L x W x T)
Format:	Paperback
Pages:	776
Edition:	Softcover reprint of the original 1st ed. 1999
ISBN-13:	978-0-387-24515-7
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	0-387-24515-4
Barcode:	9780387245157

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