Hierarchical segmentation via a diffusion scheme in color/texture feature space

This paper presents a segmentation scheme for images containing both smooth regions and textures. It is based on a vector-valued anisotropic diffusion on a combined color/Gabor feature space, followed by a hierarchical segmentation using dynamics of multiscale ´generalized gradient´ watersheds. The proposed method gives good segmentation results and is shown to be more effective than its counterpart, which uses only multiscale color information.