Comparative analysis of texture models for image segmentation

Texture is one of the high level features of images which is used in many applications. The Local Binary Pattern (LBP) is used for detecting uniform patterns. The dominant local binary pattern (DLBP) makes use of minimum set of most frequently occurred patterns. The Local Texture Pattern (LTP) is the gray-scale and rotational invariant texture measure. It is an ongoing research to find the suitable texture model for particular application. In this paper, the performance of three distinct models is evaluated by using these models for image segmentation.