Overview
- Editors:
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Etienne E. Kerre
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Department of Applied Mathematics and Computer Science Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Gent, Belgium
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Mike Nachtegael
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Department of Applied Mathematics and Computer Science Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Gent, Belgium
- First book on the rich application of fuzzy set theory to a wide variety of image processing issues
- Written by outstanding experts in the field
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Table of contents (15 chapters)
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Fuzzy Mathematical Morphology
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- Mike Nachtegael, Etienne E. Kerre
Pages 3-57
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- Edward R. Dougherty, Antony T. Popov
Pages 76-100
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Fuzzy Image Filtering
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Front Matter
Pages 135-135
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- Chang-Shing Lee, Yau-Hwang Kuo
Pages 172-193
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- Farzam Farbiz, Mohammad Bagher Menhaj
Pages 194-221
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- Constantin Vertan, Vasile Buzuloiu
Pages 248-264
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Applications of Fuzzy Techniques in Image Processing
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Front Matter
Pages 265-265
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- Lars Hildebrand, Bernd Reusch
Pages 267-286
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- Zhongkang Lu, Zheru Chi, Pengfei Shi, Eam Khwang Teoh
Pages 287-307
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- Andreas Rick, Sylvie Bothorel, Bernadette Bouchon-Meunier, Serge Muller, Maria Rifqi
Pages 308-336
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- Dimitri Van De Ville, Wilfried Philips, Ignace Lemahieu
Pages 337-369
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- Alois Knoll, Jianwei Zhang, Thorsten Graf, André Wolfram
Pages 370-393
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- Akira Nakamura, Azriel Rosenfeld
Pages 394-404
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Back Matter
Pages 405-413
About this book
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.
