A new active contour model based on complexity of textures for segmentation of natural image

Segmentation of natural image with complex textures is a challenge problem for classical Active Contour Models, because it is difficult to find a suitable measure for describing textures that always occupy a big area of natural image. In this paper, a new measure to evaluate texture complexity is proposed, then a feature map is created based on this measure. To approximate two phase image, diffusion filter is used to smooth the feature map. Finally, we proposed a new Active Contour Model based on the feature map. This new Active Contour Model can be used to segment natural image. Results of experiments on some typical natural images show the proposed model suffer from less over and wrong segmentation than state-of-the-art models.