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Evolutionary Image Analysis and Signal Processing

  • Book
  • © 2009

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Editors:
  1. Stefano Cagnoni

    1. Dipartimnto di Ingegneria dell’Informazione , PARMA, Italy

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  • Presents recent developments of Evolutionary Image Analysis and Signal Processing
  • Extended contributions from EvoIASP 2007 and more

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

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Table of contents (11 chapters)

  1. Front Matter

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  2. Evolutionary Image Analysis and Signal Processing

    1. Front Matter

      Pages 1-1
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    2. Texture Image Segmentation Using an Interactive Evolutionary Approach

      • Cynthia B. Pérez, Gustavo Olague, Evelyne Lutton, Francisco Fernández
      Pages 3-19

    3. Detecting Scale-Invariant Regions Using Evolved Image Operators

      • Leonardo Trujillo, Gustavo Olague
      Pages 21-40

    4. Online Evolvable Pattern Recognition Hardware

      • Kyrre Glette, Jim Torresen, Moritoshi Yasunaga
      Pages 41-54

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

      • Mengjie Zhang, Mark Johnston
      Pages 55-72

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

      • Wojciech JaÅ›kowski, Krzysztof Krawiec, Bartosz Wieloch
      Pages 73-90

    7. Optimizing a Medical Image Analysis System Using Mixed-Integer Evolution Strategies

      • Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra et al.
      Pages 91-112

    8. Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production

      • Ferrante Neri, Ville Tirronen
      Pages 113-131

    9. Fast Genetic Scan Matching in Mobile Robotics

      • Kristijan Lenac, Enzo Mumolo, Massimiliano Nolich
      Pages 133-152

    10. Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery

      • Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
      Pages 153-169

    11. Euclidean Distance Fit of Conics Using Differential Evolution

      • Luis G. de la Fraga, Israel Vite Silva, Nareli Cruz-Cortés
      Pages 171-184

    12. An Evolutionary FIR Filter Design Method

      • Raed Abu Zitar, Ayman Al-Dmour
      Pages 185-200

  3. Back Matter

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Keywords

About this book

The publication of this book on evolutionaryImage Analysis and Signal P- cessing (IASP) has two main goals. The ?rst, occasional one is to celebrate the 10th edition of EvoIASP, the workshop which has been the only event speci?cally dedicated to this topic since 1999. The second, more important one is to give an overview of the opportunities o?ered by Evolutionary C- putation (EC) techniques to computer vision,pattern recognition,and image and signal processing. It is not possible to celebrate EvoIASP properly without ?rst ackno- edging EvoNET, the EU-funded network of excellence, which has made it possible for Europe to build a strong European research community on EC. Thanks to the success of the ?rst, pioneering event organized by EvoNET, held in 1998 in Paris, it was possible to realize that not only was EC a f- tile ground for basic research but also there were several application ?elds to which EC techniques could o?er a valuable contribution. That was how the ideaofcreatingasingleevent,EvoWorkshops,outofacollectionofworkshops dedicated to applications of EC, was born. Amongst the possible application ?elds for EC, IASP was selected almost accidentally, due to the occasional presence, within EvoNET, of less than a handful of researchers who were interested in it. I would lie if I stated that the event was a great success since its very start, but it was successful enough to survive healthily for a couple of years, before reaching its present size, relevance, and popularity.

Editors and Affiliations

  • Dipartimnto di Ingegneria dell’Informazione , PARMA, Italy

    Stefano Cagnoni

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