Hybrid Soft Computing for Image Segmentation 2016 Edition Contributor(s): Bhattacharyya, Siddhartha (Editor), Dutta, Paramartha (Editor), de, Sourav (Editor) |
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ISBN: 3319472224 ISBN-13: 9783319472225 Publisher: Springer
Binding Type: Hardcover - See All Available Formats & Editions Published: November 2016 |
Additional Information |
BISAC Categories: - Computers | Computer Vision & Pattern Recognition - Computers | Image Processing |
Dewey: 006.3 |
Physical Information: 0.81" H x 6.14" W x 9.21" L (1.44 lbs) 321 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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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