Hybrid Soft Computing for Image Segmentation

Siddhartha Bhattacharyya

ISBN 10: 3319472224 / ISBN 13: 9783319472225

Editore: Springer International Publishing, 2016

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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.

Codice articolo 9783319472225

Dati bibliografici

• Titolo: Hybrid Soft Computing for Image Segmentation
• Editore: Springer International Publishing
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319472224
• ISBN 13: 9783319472225
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 24 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 24 millimetri di profondità
• Peso: 676 grammi

Descrizione articolo

Riassunto

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.