Abstract: Segmenting an image into differently textured regions is a difficult problem. A new method for texture image segmentation is proposed, which has three advantages over the other active contours. Firstly, by combining the gray levels of pixels and texture information of an image, this method can be used for segmentation of a texture image or a none-texture image. Secondly, the method has low computation complexity, because the LBP (local binary pattern) is employed to extract texture features. Finally, the without re-initialization algorithm proposed in this paper can avoid the additional computation problem due to the re-initialization of the signal distance function. The segmentation tests for synthetic and natural texture images show that the proposed segmentation method is efficient, accurate, fast and robust.

Key words: texture image segmentation, local binary pattern, geodesic active contour, level set