A new accurate segmentation way for high resolution images

In this paper, an accurate segmentation approach to high-resolution images based on wavelet-domain Gaussian Markov random field (GMRF) tree models is proposed. The novel wavelet decomposition algorithm and multi-scale segmentation of textured image are presented. This method captures the dependencies across the wavelet subbands and die interscale dependencies that are useful for texture analysis. The power of our technique lies in elective extraction of texture information in high-resolution images. Experiments prove the efficiency of the approach in the segmentation of high-resolution images.