Improvement of texture image segmentation based on visual model
Jin Ma, Fuqing Duan, Ping Guo · 2012
As an important aspect of image segmentation, texture segmentation has long been one of the hot spots in segmentation field. In this paper, the human visual cognitive model is used as a new texture feature extraction method for image texture segmentation. In order to promote the effect of clustering segmentation method, spatial location information is considered to smooth the segment result. Experiments show that the proposed texture feature descriptor with visual cognitive model is more conducive than that of the Gabor feature.