Evolutionary Image Analysis and Signal Processing / Edition 1

by Stefano Cagnoni

Overview

The publication of this book on evolutionaryImage Analysis and Signal P- cessing (IASP) has two main goals. The first, occasional one is to celebrate the 10th edition of EvoIASP, the workshop which has been the only event specifically dedicated to this topic since 1999. The second, more important one is to give an overview of the opportunities offered 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 first 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 first, 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 fields to which EC techniques could offer a valuable contribution. That was how the idea of creating a single event, Evo Workshops, out of a collection of workshops dedicated to applications of EC, was born. Amongst the possible application fields 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.

Product Details

ISBN-13:	9783642101854
Publisher:	Springer Berlin Heidelberg
Publication date:	12/21/2010
Series:	Studies in Computational Intelligence , #213
Edition description:	Softcover reprint of hardcover 1st ed. 2009
Pages:	204
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Evolutionary Image Analysis and Signal Processing.- Texture Image Segmentation Using an Interactive Evolutionary Approach.- Detecting Scale-Invariant Regions Using Evolved Image Operators.- Online Evolvable Pattern Recognition Hardware.- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification.- Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes.- Optimizing a Medical Image Analysis System Using Mixed-Integer Evolution Strategies.- Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production.- Fast Genetic Scan Matching in Mobile Robotics.- Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery.- Euclidean Distance Fit of Conics Using Differential Evolution.- An Evolutionary FIR Filter Design Method.