Fuzzy Techniques in Image Processing

  • Etienne E. Kerre
  • Mike Nachtegael

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 52)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Fuzzy Mathematical Morphology

    1. Front Matter
      Pages 1-1
    2. Mike Nachtegael, Etienne E. Kerre
      Pages 3-57
    3. Edward R. Dougherty, Antony T. Popov
      Pages 76-100
  3. Fuzzy Image Filtering

    1. Front Matter
      Pages 135-135
    2. Hamid R. Tizhoosh
      Pages 137-171
    3. Chang-Shing Lee, Yau-Hwang Kuo
      Pages 172-193
    4. Farzam Farbiz, Mohammad Bagher Menhaj
      Pages 194-221
    5. Constantin Vertan, Vasile Buzuloiu
      Pages 248-264
  4. Applications of Fuzzy Techniques in Image Processing

    1. Front Matter
      Pages 265-265
    2. Lars Hildebrand, Bernd Reusch
      Pages 267-286
    3. Zhongkang Lu, Zheru Chi, Pengfei Shi, Eam Khwang Teoh
      Pages 287-307
    4. Andreas Rick, Sylvie Bothorel, Bernadette Bouchon-Meunier, Serge Muller, Maria Rifqi
      Pages 308-336
    5. Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu
      Pages 337-369
    6. Alois Knoll, Jianwei Zhang, Thorsten Graf, André Wolfram
      Pages 370-393
    7. Akira Nakamura, Azriel Rosenfeld
      Pages 394-404
  5. Back Matter
    Pages 405-413

About this book


The volume "Fuzzy Techniques in Image Processing" illustrates the successful application of fuzzy set theory in the area of image processing, and represents a broad, up-to-date and state-of-the-art coverage of diverse aspects related to fuzzy techniques in image processing. Besides an extensive state-of-the-art contribution on fuzzy mathematical morphology we present several contributions on a wide variety of topics, including fuzzy filtering, fuzzy image enhancement, fuzzy edge detection, fuzzy image segmentation, fuzzy processing of color images, and applications in medical imaging and robot vision. All chapters are written by outstanding experts in the field, and are characterized by their originality and high-quality standard. Therefore, the book will not only serve as an important reference for scientists and practitioners in this area, but also as an inspiration for newcoming researchers.


cognition control detection filtering fuzzy fuzzy logic image processing image segmentation imaging mathematical morphology medical imaging object recognition optimization robot topology

Editors and affiliations

  • Etienne E. Kerre
    • 1
  • Mike Nachtegael
    • 1
  1. 1.Department of Applied Mathematics and Computer Science Fuzziness and Uncertainty Modelling Research UnitGhent UniversityGentBelgium

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2475-9
  • Online ISBN 978-3-7908-1847-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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