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Hybrid Soft Computing For Image Segmentation

by Siddhartha Bhattacharyya

2021-01-08 19:06:47

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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 approa... Read more

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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Book Details

File size9.25 X 6.1 X 0 in
Print pages321
PublisherSpringer Nature
Publication date June 29, 2018
LanguageEnglish
ISBN9783319836843
autor-image
Siddhartha Bhattacharyya
Author
Dr. Siddhartha Bhattacharyya [FIET (UK), FIEI (I), FIETE, LFOSI] is currently a Professor in the Department of Computer Science and Engineering of CHRIST (Deemed to be University), Bangalore, India. P...

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