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Hybrid Soft Computing for Multilevel Image and Data Segmentation

  • Sourav De
  • Siddhartha Bhattacharyya
  • Susanta Chakraborty
  • Paramartha Dutta

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta
    Pages 1-28
  3. Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta
    Pages 29-40
  4. Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta
    Pages 41-87
  5. Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta
    Pages 89-123
  6. Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta
    Pages 125-152
  7. Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta
    Pages 153-192
  8. Back Matter
    Pages 219-235

About this book

Introduction

This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.

This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

Keywords

Segmentation Image Segmentation Clustering Optimization Multiobjective Optimization Soft Computing Genetic Algorithms Fuzzy Systems

Authors and affiliations

  • Sourav De
    • 1
  • Siddhartha Bhattacharyya
    • 2
  • Susanta Chakraborty
    • 3
  • Paramartha Dutta
    • 4
  1. 1.Department of Computer Science and EngineeringCooch Behar Government Engineering CollegeCooch BeharIndia
  2. 2.Department of Information TechnologyRCC Institute of Information TechnologyKolkataIndia
  3. 3.Department of Computer Science and TechnologyIndian Institute of Engineering Science and TechnologyHowrahIndia
  4. 4.Department of Computer and System SciencesVisva-Bharati UniversitySantiniketanIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-47524-0
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-47523-3
  • Online ISBN 978-3-319-47524-0
  • Series Print ISSN 2510-1765
  • Series Online ISSN 2510-1773
  • Buy this book on publisher's site
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