Fuzzy Techniques in Image Processing

1. Front Matter

   Pages I-XVI

   PDF

2. Fuzzy Mathematical Morphology

   1. Front Matter

      Pages 1-1

      PDF

   2. Classical and Fuzzy Approaches towards Mathematical Morphology

      • Mike Nachtegael, Etienne E. Kerre

      Pages 3-57

   3. Generalized Idempotence in Fuzzy Mathematical Morphology

      • Bernard De Baets

      Pages 58-75

   4. Fuzzy Mathematical Morphology Based on Fuzzy Inclusion

      • Edward R. Dougherty, Antony T. Popov

      Pages 76-100

   5. Fuzzy Mathematical Morphology and Derived Spatial Relationships

      • Isabelle Bloch

      Pages 101-134

3. Fuzzy Image Filtering

   1. Front Matter

      Pages 135-135

      PDF

   2. Fuzzy Image Enhancement: An Overview

      • Hamid R. Tizhoosh

      Pages 137-171

   3. Adaptive Fuzzy Filter and Its Application to Image Enhancement

      • Chang-Shing Lee, Yau-Hwang Kuo

      Pages 172-193

   4. A Fuzzy Logic Control Based Approach for Image Filtering

      • Farzam Farbiz, Mohammad Bagher Menhaj

      Pages 194-221

   5. Fuzzy Rule-Based Image Processing with Optimization

      • Kaoru Arakawa

      Pages 222-247

   6. Fuzzy Nonlinear Filtering of Color Images: A Survey

      • Constantin Vertan, Vasile Buzuloiu

      Pages 248-264

4. Applications of Fuzzy Techniques in Image Processing

   1. Front Matter

      Pages 265-265

      PDF

   2. Fuzzy Color Processing

      • Lars Hildebrand, Bernd Reusch

      Pages 267-286

   3. Ranking Segmentation Paths Using Fuzzified Decision Rules

      • Zhongkang Lu, Zheru Chi, Pengfei Shi, Eam Khwang Teoh

      Pages 287-307

   4. Fuzzy Techniques in Mammographic Image Processing

      • Andreas Rick, Sylvie Bothorel, Bernadette Bouchon-Meunier, Serge Muller, Maria Rifqi

      Pages 308-336

   5. Fuzzy-Based Motion Detection and Its Application to De-Interlacing

      • Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu

      Pages 337-369

   6. Object Recognition and Visual Servoing: Two Case Studies of Employing Fuzzy Techniques in Robot Vision

      • Alois Knoll, Jianwei Zhang, Thorsten Graf, André Wolfram

      Pages 370-393

   7. Topology-Preserving Deformations of Fuzzy Digital Pictures

      • Akira Nakamura, Azriel Rosenfeld

      Pages 394-404

5. Back Matter

   Pages 405-413

   PDF

Since time immemorial, vision in general and images in particular have played an important and essential role in human life. Nowadays, the field of image processing also has numerous scientific, commercial, industrial and military applications. All these applications result from the interaction between fun­ damental scientific research on the one hand, and the development of new and high-standard technology on the other hand. Regarding the scientific com­ ponent, quite recently the scientific community became familiar with "fuzzy techniques" in image processing, which make use of the framework of fuzzy sets and related theories. The theory of fuzzy sets 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 membership to nonmembership, providing partial degrees of member­ ship. 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. With this vol­ ume, we want to demonstrate that the introduction and application of fuzzy techniques can also be very successful in the area of image processing. This book contains high-quality contributions of over 30 field experts, covering a wide range of both theoretical and practical applications of fuzzy techniques in image processing.

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

• Department of Applied Mathematics and Computer Science Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Gent, Belgium

  Etienne E. Kerre, Mike Nachtegael

Policies and ethics