Hybrid Soft Computing for Image Segmentation is popular PDF and ePub book, written by Siddhartha Bhattacharyya in 2016-11-12, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Hybrid Soft Computing for Image Segmentation can be Read Online from any device for your convenience.
Hybrid Soft Computing for Image Segmentation Book PDF Summary
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.
Detail Book of Hybrid Soft Computing for Image Segmentation PDF
- Author : Siddhartha Bhattacharyya
- Release : 12 November 2016
- Publisher : Springer
- ISBN : 9783319472232
- Genre : Computers
- Total Page : 321 pages
- Language : English
- PDF File Size : 18,9 Mb
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