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 107,09 €
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  • ISBN 978-3-319-47223-2
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Hardcover 135,19 €
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  • ISBN 978-3-319-47222-5
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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.

Buy this book

eBook 107,09 €
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 135,19 €
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