Estimation of the mass function in the Dempster-Shafer’s evidence theory using automatic thresholding for color image segmentation

In this paper we propose a color image segmentation method based on Demspter-Shaferpsilas theory. The salient aspects of the proposed method are at two levels. Firstly, the mass distributions of the Dempster-Shafer theory are directly derived from the image histogram. Secondly, the fusion of information coming from three different sources for the same image. A new strategy based on an automatic histogram thresholding is proposed to define the mass distributions in the combined framework. The proposed algorithm has been applied to the biomedical images.