Items related to Hybrid Soft Computing for Image Segmentation
Synopsis
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.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2016
- ISBN 10 3319472224
- ISBN 13 9783319472225
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages337
- EditorBhattacharyya Siddhartha, Dutta Paramartha, De Sourav, Klepac Goran
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Hybrid Soft Computing for Image Segmentation
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Springer International Publishing, 2016
ISBN 10: 3319472224
ISBN 13: 9783319472225
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Hybrid Soft Computing for Image Segmentation
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ISBN 10: 3319472224
ISBN 13: 9783319472225
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Buch. Condition: 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. Seller Inventory # 9783319472225
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Hybrid Soft Computing for Image Segmentation
Published by
Springer International Publishing, 2016
ISBN 10: 3319472224
ISBN 13: 9783319472225
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Buch. Condition: 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. Seller Inventory # 9783319472225
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Hybrid Soft Computing for Image Segmentation
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ISBN 10: 3319472224
ISBN 13: 9783319472225
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