Hybrid Soft Computing For Image Segmentation

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Hybrid Soft Computing for Image Segmentation

Hybrid Soft Computing for Image Segmentation
Author :
Publisher : Springer
Total Pages : 327
Release :
ISBN-10 : 9783319472232
ISBN-13 : 3319472232
Rating : 4/5 (232 Downloads)

Book Synopsis Hybrid Soft Computing for Image Segmentation by : Siddhartha Bhattacharyya

Download or read book Hybrid Soft Computing for Image Segmentation written by Siddhartha Bhattacharyya and published by Springer. This book was released on 2016-11-12 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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