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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

  • James C. Bezdek
  • James Keller
  • Raghu Krisnapuram
  • Nikhil R. Pal

Part of the The Handbooks of Fuzzy Sets Series book series (FSHS, volume 4)

Table of contents

  1. Front Matter
    Pages i-xv
  2. James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 1-10
  3. James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 11-136
  4. James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 137-182
  5. James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 183-546
  6. James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 547-678
  7. Back Matter
    Pages 679-776

About this book

Introduction

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.

Keywords

Processing Remote Sensing algorithms cluster cognition computer computer vision fuzzy sets image analysis image processing pattern recognition

Authors and affiliations

  • James C. Bezdek
    • 1
  • James Keller
    • 2
  • Raghu Krisnapuram
    • 3
  • Nikhil R. Pal
    • 4
  1. 1.University of West FloridaUSA
  2. 2.University of MissouriUSA
  3. 3.Colorado School of MinesUSA
  4. 4.Indian Statistical InstituteIndia

Bibliographic information

  • DOI https://doi.org/10.1007/b106267
  • Copyright Information Springer Science+Business Media New York 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-24515-7
  • Online ISBN 978-0-387-24579-9
  • Series Print ISSN 1388-4352
  • Buy this book on publisher's site