Unsupervised image segmentation based on the anisotropic texture information

Based on the anisotropic characteristic of brushlet, a new feature named directional texture histogram in brushlet domain is presented, which represents the local anisotropic information in image. A novel unsupervised image segmentation method via local directional texture histogram in the brushlet domain is developed. The segmentation results of synthetic mosaics, aerial photo and synthetic aperture radar (SAR) image show that our method represents better performance and its error probability of the synthetic mosaics is lower than the wavelet-based method.