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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

  • Book
  • © 1999

Overview

Authors:
  1. James C. Bezdek

    1. University of West Florida, USA

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  2. James Keller

    1. University of Missouri, USA

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  3. Raghu Krisnapuram

    1. Colorado School of Mines, USA

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  4. Nikhil R. Pal

    1. Indian Statistical Institute, India

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  • Up-to-date treatment of analysis clustering and classifier design
  • Emphasis on the numerical approach to pattern recognition
  • Includes many fuzzy sets techniques and over 70 pages of references

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

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xv
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  2. Pattern Recognition

    • James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 1-10

  3. Cluster Analysis for Object Data

    • James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 11-136

  4. Cluster Analysis for Relational Data

    • James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 137-182

  5. Classifier Design

    • James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 183-546

  6. Image Processing and Computer Vision

    • James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
    Pages 547-678

  7. Back Matter

    Pages 679-776
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Keywords

About this book

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.

Authors and Affiliations

  • University of West Florida, USA

    James C. Bezdek

  • University of Missouri, USA

    James Keller

  • Colorado School of Mines, USA

    Raghu Krisnapuram

  • Indian Statistical Institute, India

    Nikhil R. Pal

Bibliographic Information

  • Book Title: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

  • Authors: James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal

  • Series Title: The Handbooks of Fuzzy Sets

  • DOI: https://doi.org/10.1007/b106267

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1999

  • Hardcover ISBN: 978-0-7923-8521-9Published: 31 August 1999

  • Softcover ISBN: 978-0-387-24515-7Published: 25 March 2005

  • eBook ISBN: 978-0-387-24579-9Published: 28 September 2006

  • Series ISSN: 1388-4352

  • Edition Number: 1

  • Number of Pages: XVI, 776

  • Topics: Artificial Intelligence, Pattern Recognition, Control, Robotics, Mechatronics, Electrical Engineering

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