Hybrid Soft Computing for Image Segmentation

Siddhartha Bhattacharyya

ISBN 10: 3319472224 / ISBN 13: 9783319472225

Published by Springer International Publishing, Springer International Publishing Nov 2016, 2016

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.

Seller Inventory # 9783319472225

Bibliographic Details

• Title: Hybrid Soft Computing for Image Segmentation
• Publisher: Springer International Publishing, Springer International Publishing Nov 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3319472224
• ISBN 13: 9783319472225
• Binding: Buch
• Condition: Neu

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.