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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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- VerlagSpringer
- Erscheinungsdatum2018
- ISBN 10 3319836846
- ISBN 13 9783319836843
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten340
- HerausgeberBhattacharyya Siddhartha, Dutta Paramartha, De Sourav, Klepac Goran
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Hybrid Soft Computing for Image Segmentation
ISBN 10: 3319836846
ISBN 13: 9783319836843
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Taschenbuch. Zustand: 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. Artikel-Nr. 9783319836843
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