Evolutionary Image Analysis and Signal Processing

  • Stefano Cagnoni

Part of the Studies in Computational Intelligence book series (SCI, volume 213)

Table of contents

  1. Front Matter
  2. Evolutionary Image Analysis and Signal Processing

    1. Front Matter
      Pages 1-1
    2. Cynthia B. Pérez, Gustavo Olague, Evelyne Lutton, Francisco Fernández
      Pages 3-19
    3. Leonardo Trujillo, Gustavo Olague
      Pages 21-40
    4. Kyrre Glette, Jim Torresen, Moritoshi Yasunaga
      Pages 41-54
    5. Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch
      Pages 73-90
    6. Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra et al.
      Pages 91-112
    7. Kristijan Lenac, Enzo Mumolo, Massimiliano Nolich
      Pages 133-152
    8. Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
      Pages 153-169
    9. Luis G. de la Fraga, Israel Vite Silva, Nareli Cruz-Cortés
      Pages 171-184
    10. Raed Abu Zitar, Ayman Al-Dmour
      Pages 185-200
  3. Back Matter

About this book

Introduction

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.

Keywords

Signal calculus cognition computer vision evolution evolutionary computation genetic programming image analysis learning optimization pattern recognition programming robot robotics signal processing

Editors and affiliations

  • Stefano Cagnoni
    • 1
  1. 1.Dipartimnto di Ingegneria dell’Informazione PARMAItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01636-3
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-01635-6
  • Online ISBN 978-3-642-01636-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book