Active contour model based on LTP code for texture image segmentation

In this paper, a novel algorithm is proposed for unsupervised segmentation that incorporates a Local Trinary Pattern (LTP) code representation of textures under a geometric active contour framework. First, by combining the gray levels of pixels with texture information of an image, this method can be used for segmentation of a texture image or a non-texture image. And then, the method is modified to avoid the additional computation problem without re-initialization repeatedly. The simulation experiments show that the proposed segmentation method is more efficient and accurate.