Hybrid Soft Computing for Image Segmentation

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
Cover of the book Hybrid Soft Computing for Image Segmentation by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319472232
Publisher: Springer International Publishing Publication: November 12, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319472232
Publisher: Springer International Publishing
Publication: November 12, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Matching Theory for Wireless Networks by
Cover of the book Trends in Contemporary Mathematics by
Cover of the book Popper and His Popular Critics by
Cover of the book Business Information Systems Workshops by
Cover of the book Berichte zur Lebensmittelsicherheit by
Cover of the book Regulating and Supervising European Financial Markets by
Cover of the book Construction Dispute Research by
Cover of the book Statistical Language and Speech Processing by
Cover of the book Democracy and Growth in the Twenty-first Century by
Cover of the book Proceedings of the Second International Conference on Theoretical, Applied and Experimental Mechanics by
Cover of the book Pervasive Computing by
Cover of the book Bio-based Polymers and Nanocomposites by
Cover of the book Rural Isolation and Dual Cultural Existence by
Cover of the book Evolution of the Exchange Industry by
Cover of the book Optimal Search for Moving Targets by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy