Articles liés à Fuzzy Filters for Image Processing
Synopsis
Fuzzy Filters for Image Processing 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. It is demonstrated how soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to this problems. O... Full description
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Présentation de l'éditeur
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. It is demonstrated how soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to this problems. 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.
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- ÉditeurSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Date d'édition2003
- ISBN 10 3540004653
- ISBN 13 9783540004653
- ReliureRelié
- Langueanglais
- Nombre de pages386
- ÉditeurNachtegael Mike, Van Der Weken Dietrich, Van De Ville Dimitri, Kerre Etienne E.
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Fuzzy Filters for Image Processing
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Springer Berlin Heidelberg, 2003
ISBN 10 : 3540004653
ISBN 13 : 9783540004653
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Fuzzy Filters for Image Processing: 122 (Studies in Fuzziness and Soft Computing, 122)
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Springer, 2003
ISBN 10 : 3540004653
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Etat : Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N° de réf. du vendeur wbs8264397036
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Fuzzy Filters for Image Processing
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ISBN 10 : 3540004653
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 400 pp. Englisch. N° de réf. du vendeur 9783540004653
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Fuzzy Filters for Image Processing
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Springer Berlin Heidelberg, 2003
ISBN 10 : 3540004653
ISBN 13 : 9783540004653
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783540004653
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Fuzzy Filters for Image Processing (Studies in Fuzziness and Soft Computing, 122)
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ISBN 13 : 9783540004653
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