Evolutionary Segmentation of Texture Image Using Genetic Algorithms and Two-Dimensional Wavelet Transform
Motohide YOSHIMURA, Shunichiro OE
In this paper we consider the segmentation problem of a texture image composed of different kinds of texture fields not as a pattern classification problem but a combinatorial optimization problem. We apply a probabilistic and effective successive search procedure of genetic algorithms to the clustering of small regions in a feature space. Moreover, we propose a new feature extraction scheme using two-dimensional wavelet transform, which can extract the hierarchical characteristics of the texture feature, and perform the accurate feature extraction upon the unstationary texture fields.