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Studies in Computational Intelligence

Evolutionary Image Analysis and Signal Processing

Editors: Cagnoni, Stefano (Ed.)

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  • Presents recent developments of Evolutionary Image Analysis and Signal Processing
  • Contains extended contributions from EvoIASP 2007 and other material and information
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eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-642-01636-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
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  • Immediate eBook download after purchase
Hardcover 176,79 €
price for Spain (gross)
  • ISBN 978-3-642-01635-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 145,78 €
price for Spain (gross)
  • ISBN 978-3-642-10185-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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About this book

This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing.

Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Texture Image Segmentation Using an Interactive Evolutionary Approach

    Pages 3-19

    Pérez, Cynthia B. (et al.)

  • Detecting Scale-Invariant Regions Using Evolved Image Operators

    Pages 21-40

    Trujillo, Leonardo (et al.)

  • Online Evolvable Pattern Recognition Hardware

    Pages 41-54

    Glette, Kyrre (et al.)

  • A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification

    Pages 55-72

    Zhang, Mengjie (et al.)

  • Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes

    Pages 73-90

    Jaśkowski, Wojciech (et al.)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-642-01636-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 176,79 €
price for Spain (gross)
  • ISBN 978-3-642-01635-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 145,78 €
price for Spain (gross)
  • ISBN 978-3-642-10185-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • 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
Evolutionary Image Analysis and Signal Processing
Editors
  • Stefano Cagnoni
Series Title
Studies in Computational Intelligence
Series Volume
213
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-01636-3
DOI
10.1007/978-3-642-01636-3
Hardcover ISBN
978-3-642-01635-6
Softcover ISBN
978-3-642-10185-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XV, 204
Topics