Evolutionary image analysis and signal processing

Cynthia B. Pérez, Gustavo Olague, Evelyne Lutton, Francisco Fernández (auth.), Stefano Cagnoni (eds.)3642016359, 9783642016356

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 :
Front Matter….Pages –
Front Matter….Pages 1-1
Texture Image Segmentation Using an Interactive Evolutionary Approach….Pages 3-19
Detecting Scale-Invariant Regions Using Evolved Image Operators….Pages 21-40
Online Evolvable Pattern Recognition Hardware….Pages 41-54
A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification….Pages 55-72
Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes….Pages 73-90
Optimizing a Medical Image Analysis System Using Mixed-Integer Evolution Strategies….Pages 91-112
Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production….Pages 113-131
Fast Genetic Scan Matching in Mobile Robotics….Pages 133-152
Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery….Pages 153-169
Euclidean Distance Fit of Conics Using Differential Evolution….Pages 171-184
An Evolutionary FIR Filter Design Method….Pages 185-200
Back Matter….Pages –