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Fuzzy Filters for Image Processing

  • Mike Nachtegael
  • Dietrich Van der Weken
  • Etienne E. Kerre
  • Dimitri Van De Ville

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 122)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Fuzzy Filters for Noise Reduction

    1. Front Matter
      Pages 1-1
    2. Manuel Guillermo Forero-Vargas, Leonardo Javier Delgado-Rangel
      Pages 3-24
    3. Hon Keung Kwan
      Pages 25-53
    4. Ivan Kalaykov, Gustav Tolt
      Pages 54-71
    5. Spiros Fotopoulos, Antony Fotinos, Socrates Makrogiannis
      Pages 72-97
  3. Fuzzy Filters for Edge Detection and Segmentation

    1. Front Matter
      Pages 99-99
    2. Otman Basir, Hongwei Zhu, Fakhri Karray
      Pages 101-128
    3. Manuel Guillermo Forero-Vargas
      Pages 129-152
    4. Aymeric Gillet, Ludovic Macaire, Claudine Botte-Lecocq, Jack-Gerard Postaire
      Pages 153-177
    5. Hamid R. Tizhoosh
      Pages 178-194
    6. Spyros Ioannou, Yannis Avrithis, Giorgos Stamou, Stefanos Kollias
      Pages 195-215
  4. Fuzzy Filters for Image Enhancement

    1. Front Matter
      Pages 217-217
    2. Vasile Pătraşcu, Vasile Buzuloiu, Constantin Vertan
      Pages 219-237
    3. Hamid R. Tizhoosh
      Pages 238-270
  5. Specific Applications of Fuzzy Filters

    1. Front Matter
      Pages 271-271
    2. Vassilios Chatzis, Ioannis Pitas
      Pages 273-305
    3. Hajime Nobuhara, Yasufumi Takama, Witold Pedrycz, Kaoru Hirota
      Pages 339-355
  6. Back Matter
    Pages 372-386

About this book

Introduction

This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field.

Keywords

3D 3D graphics Edge Detection Fuzzy Filters Noise Removal Segmentation Tracking artificial intelligence calculus fuzzy fuzzy logic fuzzy set image processing performance

Editors and affiliations

  • Mike Nachtegael
    • 1
  • Dietrich Van der Weken
    • 1
  • Etienne E. Kerre
    • 1
  • Dimitri Van De Ville
    • 2
  1. 1.Dept. of Applied Mathematics and Computer ScienceGhent UniversityGentBelgium
  2. 2.Biomedical Imaging Group EPFL/STI/LIBSwiss Federal Institute of Technology LausanneLausanne EPFLSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-36420-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05591-1
  • Online ISBN 978-3-540-36420-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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