Title :
A genetic algorithm for image segmentation
Author :
Bosco, Giosuè Lo
Author_Institution :
Dipartimento di Matematica e Applicazioni, Palermo Univ., Italy
Abstract :
The paper describes a new algorithm for image segmentation. It is based on a genetic approach that allow us to consider the segmentation problem as a global optimization problem (GOP). For this purpose, a fitness function, based on the similarity between images, has been defined. The similarity is a function of both the intensity and the spatial position of pixels. Preliminary results, obtained using real images, show a good performance of the segmentation algorithm
Keywords :
genetic algorithms; image matching; image segmentation; fitness function; genetic algorithm; global optimization problem; image segmentation; image similarity; real images; Deformable models; Eigenvalues and eigenfunctions; Genetic algorithms; Humans; Image recognition; Image segmentation; Layout; Shape; Surface fitting; Visual system;
Conference_Titel :
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location :
Palermo
Print_ISBN :
0-7695-1183-X
DOI :
10.1109/ICIAP.2001.957019
