Fuzzy Filters for Image Processing: 122 (Studies in Fuzziness and Soft Computing) - Tapa blanda

9783642055911: Fuzzy Filters for Image Processing: 122 (Studies in Fuzziness and Soft Computing)

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ISBN 10: 3642055915 ISBN 13: 9783642055911

Editorial: Springer, 2010

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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.

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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.

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EditorialSpringer
A�o de publicaci�n2010
ISBN 10 3642055915
ISBN 13 9783642055911
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de p�ginas400
EditorNachtegael Mike, Van Der Weken Dietrich, Van De Ville Dimitri, Kerre Etienne E.

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9783540004653: Fuzzy Filters for Image Processing: 122 (Studies in Fuzziness and Soft Computing)

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Fuzzy Filters for Image Processing (Studies in Fuzziness and Soft Computing)

Publicado por Springer, 2010

ISBN 10: 3642055915 ISBN 13: 9783642055911

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Fuzzy Filters for Image Processing

Nachtegael, Mike|Weken, Dietrich van der|Ville, Dimitri van de|Kerre, Etienne E.

Publicado por Springer Berlin Heidelberg, 2010

ISBN 10: 3642055915 ISBN 13: 9783642055911

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Fuzzy Filters for Image Processing

Mike Nachtegael

Publicado por Springer Berlin Heidelberg Dez 2010, 2010

ISBN 10: 3642055915 ISBN 13: 9783642055911

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Taschenbuch. Condici�n: 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. 404 pp. Englisch. N� de ref. del art�culo: 9783642055911

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Fuzzy Filters for Image Processing

Mike Nachtegael

Publicado por Springer Berlin Heidelberg, 2010

ISBN 10: 3642055915 ISBN 13: 9783642055911

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: 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 ref. del art�culo: 9783642055911

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