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Hybrid Soft Computing for Image Segmentation

Editors: Bhattacharyya, S., Dutta, P., De, S., Klepac, G. (Eds.)

  • Topic important in applications such as image processing, image mining, video surveillance, and intelligent transportation systems
  • Valuable for researchers and graduate students in the domains of image processing and computational intelligence
  • Contributions examine strengths and weaknesses of the approaches
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eBook 91,62 €
price for Spain (gross)
  • ISBN 978-3-319-47223-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 114,39 €
price for Spain (gross)
  • ISBN 978-3-319-47222-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

Table of contents (12 chapters)

  • Hybrid Swarms Optimization Based Image Segmentation

    El Aziz, Mohamed Abd (et al.)

    Pages 1-21

    Preview Buy Chapter 30,19 €
  • Grayscale Image Segmentation Using Multilevel Thresholding and Nature-Inspired Algorithms

    Sun, Genyun (et al.)

    Pages 23-52

    Preview Buy Chapter 30,19 €
  • A Novel Hybrid CS-BFO Algorithm for Optimal Multilevel Image Thresholding Using Edge Magnitude Information

    Agrawal, Sanjay (et al.)

    Pages 53-85

    Preview Buy Chapter 30,19 €
  • REFII Model and Fuzzy Logic as a Tool for Image Classification Based on Image Example

    Klepac, Goran

    Pages 87-108

    Preview Buy Chapter 30,19 €
  • Microscopic Image Segmentation Using Hybrid Technique for Dengue Prediction

    Ghosh, Pramit (et al.)

    Pages 109-136

    Preview Buy Chapter 30,19 €

Buy this book

eBook 91,62 €
price for Spain (gross)
  • ISBN 978-3-319-47223-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 114,39 €
price for Spain (gross)
  • ISBN 978-3-319-47222-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid Soft Computing for Image Segmentation
Editors
  • Siddhartha Bhattacharyya
  • Paramartha Dutta
  • Sourav De
  • Goran Klepac
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-47223-2
DOI
10.1007/978-3-319-47223-2
Hardcover ISBN
978-3-319-47222-5
Edition Number
1
Number of Pages
XVI, 321
Number of Illustrations and Tables
75 b/w illustrations, 87 illustrations in colour
Topics