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9783319472225: Hybrid Soft Computing for Image Segmentation

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ISBN 10: 3319472224 ISBN 13: 9783319472225

Editorial: Springer, 2016

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<P>THIS BOOK PROPOSES SOFT COMPUTING TECHNIQUES FOR SEGMENTING REAL-LIFE IMAGES IN APPLICATIONS SUCH AS IMAGE PROCESSING, IMAGE MINING, VIDEO SURVEILLANCE, AND INTELLIGENT TRANSPORTATION SYSTEMS. THE BOOK SUGGESTS HYBRIDS DERIVING FROM THREE MAIN APPROACHES: FUZZY SYSTEMS, PRIMARILY USED FOR HANDLING REAL-LIFE PROBLEMS THAT INVOLVE UNCERTAINTY; ARTIFICIAL NEURAL NETWORKS, USUALLY APPLIED FOR MACHINE COGNITION, LEARNING, AND RECOGNITION; AND EVOLUTIONARY COMPUTATION, MAINLY USED FOR SEARCH, EXPLORATION, EFFICIENT EXPLOITATION OF CONTEXTUAL INFORMATION, AND OPTIMIZATION.</P> <P>THE CONTRIBUTED CHAPTERS DISCUSS BOTH THE STRENGTHS AND THE WEAKNESSES OF THE APPROACHES, AND THE BOOK WILL BE VALUABLE FOR RESEARCHERS AND GRADUATE STUDENTS IN THE DOMAINS OF IMAGE PROCESSING AND COMPUTATIONAL INTELLIGENCE.</P>

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This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.

The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

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EditorialSpringer
A�o de publicaci�n2016
ISBN 10 3319472224
ISBN 13 9783319472225
Encuadernaci�nTapa dura
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas340
EditorBhattacharyya Siddhartha, Dutta Paramartha, De Sourav

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9783319836843: Hybrid Soft Computing for Image Segmentation

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ISBN 10: 3319836846 ISBN 13: 9783319836843
Editorial: Springer, 2018
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Hybrid Soft Computing for Image Segmentation

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Publicado por Springer International Publishing, 2016

ISBN 10: 3319472224 ISBN 13: 9783319472225

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Condici�n: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 340 | Sprache: Englisch | Produktart: B�cher. N� de ref. del art�culo: 27150841/12

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Hybrid Soft Computing for Image Segmentation

Publicado por Springer, 2016

ISBN 10: 3319472224 ISBN 13: 9783319472225

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Hybrid Soft Computing for Image Segmentation

Siddhartha Bhattacharyya

Publicado por Springer International Publishing Nov 2016, 2016

ISBN 10: 3319472224 ISBN 13: 9783319472225

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Buch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence. 340 pp. Englisch. N� de ref. del art�culo: 9783319472225

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Hybrid Soft Computing for Image Segmentation

Publicado por Springer, 2016

ISBN 10: 3319472224 ISBN 13: 9783319472225

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Hybrid Soft Computing for Image Segmentation

Siddhartha Bhattacharyya

Publicado por Springer International Publishing, 2016

ISBN 10: 3319472224 ISBN 13: 9783319472225

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence. N� de ref. del art�culo: 9783319472225

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Hybrid Soft Computing for Image Segmentation

Bhattacharyya, Siddhartha|Dutta, Paramartha|De, Sourav|Klepac, Goran

Publicado por Springer International Publishing, 2016

ISBN 10: 3319472224 ISBN 13: 9783319472225

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Librería: moluna, Greven, Alemania

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Gebunden. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Topic important in applications such as image processing, image mining, video surveillance, and intelligent transportation systemsValuable for researchers and graduate students in the domains of image processing and computational intelligence. N� de ref. del art�culo: 129499932

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