Abstract
Among the multi-resolution image processing methods, the pyramid linking algorithm has been reported to be useful in a large number of research fields. However, it is difficult to measure the similarity between child and parents in the pyramidal structure. In this paper, we propose a image segmentation method by optimizing pyramidal structure with genetic algorithms. The proposed method can divide an image composed of different kinds of texture fields into homogeneous areas without a function to discriminate similarity between child and parents.
