Hybrid Soft Computing for Image Segmentation
Author:   Siddhartha Bhattacharyya ,  Paramartha Dutta ,  Sourav De ,  Goran Klepac
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9783319836843


Pages:   321
Publication Date:   29 June 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Hybrid Soft Computing for Image Segmentation


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Overview

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.

Full Product Details

Author:   Siddhartha Bhattacharyya ,  Paramartha Dutta ,  Sourav De ,  Goran Klepac
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   5.153kg
ISBN:  

9783319836843


ISBN 10:   3319836846
Pages:   321
Publication Date:   29 June 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Hybrid Soft Computing Techniques for Image Segmentation: Fundamentals and Applications.- Enhanced Rough-Fuzzy C-Means Algorithm for Image Segmentation.- Intuitionistic Fuzzy C-means Clustering Algorithm for Brain Image Segmentation.- Automatic Segmentation Approaches.- Modified Level Set Segmentation.- Fuzzy Deformable Models for 3D Segmentation of Brain Structures.- Rough Sets for Probabilistic Model Based Image Segmentation.- Segmentation of Cerebral Images. 

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