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Fuzzy Filters for Image Processing

  • Book
  • © 2003

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Editors:
  1. Mike Nachtegael

    1. Dept. of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium

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  2. Dietrich Weken

    1. Dept. of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium

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  3. Etienne E. Kerre

    1. Dept. of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium

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  4. Dimitri Ville

    1. Biomedical Imaging Group EPFL/STI/LIB, Swiss Federal Institute of Technology Lausanne, Lausanne EPFL, Switzerland

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  • Offers State-of-the-art fuzzy filters for image processing

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

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-XIV
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  2. Fuzzy Filters for Noise Reduction

    1. Front Matter

      Pages 1-1
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    2. Fuzzy Filters for Noise Removal

      • Manuel Guillermo Forero-Vargas, Leonardo Javier Delgado-Rangel
      Pages 3-24

    3. Fuzzy Filters for Noise Reduction in Images

      • Hon Keung Kwan
      Pages 25-53

    4. Real-time Image Noise Cancellation Based on Fuzzy Similarity

      • Ivan Kalaykov, Gustav Tolt
      Pages 54-71

    5. Fuzzy Rule-Based Color Filtering Using Statistical Indices

      • Spiros Fotopoulos, Antony Fotinos, Socrates Makrogiannis
      Pages 72-97

  3. Fuzzy Filters for Edge Detection and Segmentation

    1. Front Matter

      Pages 99-99
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    2. Fuzzy Based Image Segmentation

      • Otman Basir, Hongwei Zhu, Fakhri Karray
      Pages 101-128

    3. Fuzzy Thresholding and Histogram Analysis

      • Manuel Guillermo Forero-Vargas
      Pages 129-152

    4. Color Image Segmentation by Analysis of 3D Histogram with Fuzzy Morphological Filters

      • Aymeric Gillet, Ludovic Macaire, Claudine Botte-Lecocq, Jack-Gerard Postaire
      Pages 153-177

    5. Fast and Robust Fuzzy Edge Detection

      • Hamid R. Tizhoosh
      Pages 178-194

    6. Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation

      • Spyros Ioannou, Yannis Avrithis, Giorgos Stamou, Stefanos Kollias
      Pages 195-215

  4. Fuzzy Filters for Image Enhancement

    1. Front Matter

      Pages 217-217
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    2. Fuzzy Image Enhancement in the Framework of Logarithmic Models

      • Vasile PătraÅŸcu, Vasile Buzuloiu, Constantin Vertan
      Pages 219-237

    3. Observer-Dependent Image Enhancement

      • Hamid R. Tizhoosh
      Pages 238-270

  5. Specific Applications of Fuzzy Filters

    1. Front Matter

      Pages 271-271
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    2. Fuzzy Techniques in Digital Image Processing and Shape Analysis

      • Vassilios Chatzis, Ioannis Pitas
      Pages 273-305

    3. Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking

      • Mohammad B. Menhaj
      Pages 306-338

    4. Lossy Image Compression and Reconstruction Based on Fuzzy Relational Equation

      • Hajime Nobuhara, Yasufumi Takama, Witold Pedrycz, Kaoru Hirota
      Pages 339-355

    5. Avoidance of Highlights through ILFOs in Automated Visual Inspection

      • Aureli Soria-Frisch
      Pages 356-371
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Keywords

About this book

The ongoing increase in scale of integration of electronics makes storage and computational power affordable to many applications. Also image process­ ing systems can benefit from this trend. A variety of algorithms for image processing tasks becomes close at hand. From the whole range of possible approaches, those based on fuzzy logic are the ones this book focusses on. A particular useful property of fuzzy logic techniques is their ability to represent knowledge in a way which is comprehensible to human interpretation. The theory of fuzzy sets and fuzzy logic was initiated in 1965 by Zadeh, and is one of the most developed models to treat imprecision and uncertainty. Instead of the classical approach that an object belongs or does not belong to a set, the concept of a fuzzy set allows a gradual transition from mem­ bership to nonmembership, providing partial degrees of membership. Fuzzy techniques are often complementary to existing techniques and can contribute to the development of better and more robust methods, as has already been illustrated in numerous scientific branches. The present book resulted from the workshop "Fuzzy Filters for Image Processing" which was organized at the 10th FUZZ-IEEE Conference in Mel­ bourne, Australia. At this event several speakers have given an overview of the current state-of-the-art of fuzzy filters for image processing. Afterwards, the book has been completed with contributions of other international re­ searchers.

Editors and Affiliations

  • Dept. of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium

    Mike Nachtegael, Dietrich Weken, Etienne E. Kerre

  • Biomedical Imaging Group EPFL/STI/LIB, Swiss Federal Institute of Technology Lausanne, Lausanne EPFL, Switzerland

    Dimitri Ville

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