Globally adaptive region information for automatic colortexture image segmentation
In this paper, we propose an automatic segmentation of colortexture images with arbitrary numbers of regions. The approach combines region and boundary information and uses active contours to build a partition of the image. The segmentation algorithm is initialized automatically by using homogeneous region seeds on the image domain. The partition of the image is formed by evolving the region contours and adaptively updating the region information formulated using a mixture of pdfs. We show the performance of the proposed method on examples of colortexture image segmentation, with comparison to two state-of-the-art methods.
automatic segmentation color texture polarity level sets