Approach of Texture Segmentation Based on Wavelet Transform and ODPSF
基于小波变换和ODPSF的纹理图象分割方法

In the field of texture image segmentation, method based on visual perception become a new effective way to solve this kind of problem. This paper just does such research work on texture image segmentation. In the paper an approach which combines wavelet transform with orientational filtering is proposed. First wavelet package can be used to extract main frequency of the texture since wavelet transform has the character of multi channel filtering. And then we use a 2D orientational filter to extract the others information about the orientation and frequency, etc. Finally we use a human texture image in the experiment to test the approach of this paper. And we get the processed result of the image. The experiment shows the effectiveness of this method.