Hybrid Soft Computing for Image Segmentation
. Ed(s): Bhattacharyya, Siddhartha; Dutta, Paramartha; De, Sourav; Klepac, Goran
ISBN 10: 3319472224 ISBN 13: 9783319472225
Published by Springer International Publishing AG, 2016
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Editor(s): Bhattacharyya, Siddhartha; Dutta, Paramartha; De, Sourav; Klepac, Goran. Num Pages: 321 pages, 75 black & white illustrations, 87 colour illustrations, 89 colour tables, biography. BIC Classification: UYQN; UYQV; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 672. . 2016. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9783319472225
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.
From the Back Cover:
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.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Hybrid Soft Computing for Image Segmentation
Publisher: Springer International Publishing AG
Publication Date: 2016
Binding: Hardcover
Condition: New
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | 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 # 27150841/12
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Hybrid Soft Computing for Image Segmentation
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Condition: 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. Seller Inventory # 129499932
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Buch. Condition: Neu. Hybrid Soft Computing for Image Segmentation | Siddhartha Bhattacharyya (u. a.) | Buch | xvi | Englisch | 2016 | Springer | EAN 9783319472225 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 107867973
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Buch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch. Seller Inventory # 9783319472225
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Hybrid Soft Computing for Image Segmentation
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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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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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