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Hybrid Soft Computing for Image Segmentation

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

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  • 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 106,99 €
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  • ISBN 978-3-319-47223-2
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  • ISBN 978-3-319-47222-5
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Softcover 135,19 €
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  • ISBN 978-3-319-83684-3
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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)

Table of contents (12 chapters)
  • Hybrid Swarms Optimization Based Image Segmentation

    Pages 1-21

    El Aziz, Mohamed Abd (et al.)

  • Grayscale Image Segmentation Using Multilevel Thresholding and Nature-Inspired Algorithms

    Pages 23-52

    Sun, Genyun (et al.)

  • A Novel Hybrid CS-BFO Algorithm for Optimal Multilevel Image Thresholding Using Edge Magnitude Information

    Pages 53-85

    Agrawal, Sanjay (et al.)

  • REFII Model and Fuzzy Logic as a Tool for Image Classification Based on Image Example

    Pages 87-108

    Klepac, Goran

  • Microscopic Image Segmentation Using Hybrid Technique for Dengue Prediction

    Pages 109-136

    Ghosh, Pramit (et al.)

Buy this book

eBook 106,99 €
price for Spain (gross)
  • ISBN 978-3-319-47223-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-319-47222-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-319-83684-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • 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
Softcover ISBN
978-3-319-83684-3
Edition Number
1
Number of Pages
XVI, 321
Number of Illustrations
75 b/w illustrations, 87 illustrations in colour
Topics

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