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portada Hybrid Soft Computing for Image Segmentation
Type
Physical Book
Publisher
Author
Language
English
Pages
321
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.1 cm
Weight
0.65 kg.
ISBN13
9783319472225
Categories

Hybrid Soft Computing for Image Segmentation

Bhattacharyya, Siddhartha ; Dutta, Paramartha ; De, Sourav (Author) · Springer · Hardcover

Hybrid Soft Computing for Image Segmentation - Bhattacharyya, Siddhartha ; Dutta, Paramartha ; de, Sourav

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Synopsis "Hybrid Soft Computing for Image Segmentation"

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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