A Texture Segmentation Method Using Hierarchical Correlations of Wavelet Coefficients

Abstract

For making an effective and simple region-based image retrieval system, it needs to uniformly realize both image segmentation and retrieval. In this paper, we focus on texture segmentation for region-based texture retrieval, and propose a new texture segmentation method based on the hierarchical correlation between the wavelet coefficients of adjacent level of wavelet decomposition. Firstly, we define a texture feature which is extracted from the hierarchical relations of wavelet coefficients. Secondly, we propose an algorithm for texture segmentation using the texture feature. Lastly, we evaluate the performance of texture segmentations. Experiments show that our method has a good performance for texture segmentation and suggest that the proposed texture segmentation method is applicable to region-based texture retrieval.