Title :
Resolution of the Inverse Problem for Iterated Function Systems using Evolutionary Algorithms
Author :
Sarafopoulos, Anargyros ; Buxton, Bernard
Author_Institution :
Bournemouth Univ., Poole
Abstract :
The resolution of the inverse problem for iterated function systems (IFS) is a problem that has remained open, currently there is no general solution that requires no human interaction and provides optimal results. Here we present a novel approach to the resolution of the general inverse problem for IFS using segmentation of target images in conjuction with an Evolutionary Algorithm that is a Genetic Programming-Evolutionary Strategies hybrid.
Keywords :
genetic algorithms; image segmentation; inverse problems; evolutionary algorithms; genetic programming; inverse problem; iterated function systems; target images segmentation; Animation; Evolutionary computation; Fractals; Genetics; Humans; Image coding; Image resolution; Image segmentation; Inverse problems; Shape;
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
DOI :
10.1109/CEC.2006.1688428
