Evolutionary Image Analysis and Signal Processing

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Stefano Cagnoni
Springer Science & Business Media, Jun 22, 2009 - Mathematics - 204 pages
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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.
 

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Contents

Texture Image Segmentation Using an Interactive Evolutionary Approach
3
Detecting ScaleInvariant Regions Using Evolved Image Operators
21
Online Evolvable Pattern Recognition Hardware
41
A Variant Program Structure in TreeBased Genetic Programming for Multiclass Object Classification
55
Genetic Programming for Generative Learning and Recognition of HandDrawn Shapes
73
Optimizing a Medical Image Analysis System Using MixedInteger Evolution Strategies
91
Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production
113
Fast Genetic Scan Matching in Mobile Robotics
132
Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery
153
Euclidean Distance Fit of Conics Using Differential Evolution
171
An Evolutionary FIR Filter Design Method
185
Author Index
201
Index
202
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