Evolutionary Image Analysis and Signal Processing [electronic resource] /edited by Stefano Cagnoni.
by Cagnoni, Stefano [editor.]; SpringerLink (Online service).
Material type:
BookSeries: Studies in Computational Intelligence: 213Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.Description: online resource.ISBN: 9783642016363.Subject(s): Engineering | Artificial intelligence | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Signal, Image and Speech Processing | Artificial Intelligence (incl. Robotics)DDC classification: 519 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TA640-643 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | TA329-348 (Browse shelf) | Available |
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| HD28-70 Reputation Capital | HD28-70 Managed Evolution | TA329-348 Evolutionary Image Analysis and Signal Processing | TA640-643 Evolutionary Image Analysis and Signal Processing | Q334-342 Agent Computing and Multi-Agent Systems | TJ210.2-211.495 Agent Computing and Multi-Agent Systems | QA174-183 Profinite Groups |
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.
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.
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