Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (Handbooks of Fuzzy Sets, #4) (Lecture Notes in Control and Information Sciences, #25)

by James C Bezdek, James Keller, Raghu Krisnapuram, and Nikhil Pal

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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.
  • ISBN13 9780387245157
  • Publish Date 25 March 2005 (first published 31 August 1999)
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Edition Softcover reprint of the original 1st ed. 1999
  • Format Paperback
  • Pages 776
  • Language English