Hybrid Soft Computing for Image Segmentation
Language: English
Published by Springer, 2016
- Hardcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 179.96
Quantity: 2 available
Add to basketItem description from seller
9.25x6.25x1.00 inches. In Stock.
Seller Inventory # x-3319472224
- Title
- Hybrid Soft Computing for Image Segmentation
- Author
- Bhattacharyya, Siddhartha (Edited by)/ Dutta, Paramartha (Edited by)/ De, Sourav (Edited by)/ Klepac, Goran (Edited by)
- Publisher
- Springer
- Publication year
- 2016
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319472224
- ISBN 13
- 9783319472225
- Item weight
- 0.79 kilograms
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.
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 the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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Edward Bowditch Ltd
Exstowe, Exton
Exeter, United Kingdom EX3 0PP
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