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. . . . .

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Bibliographic Details

Title: Hybrid Soft Computing for Image Segmentation
Publisher: Springer International Publishing AG
Publication Date: 2016
Language: English
ISBN 10: 3319472224
ISBN 13: 9783319472225
Binding: Hardcover
Condition: New

About this title

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.

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