Estimation of mass function in evidence theory for fusion of gray level based images

In this article, an image segmentation method based on Dempster-Shafer evidence theory and fuzzy logic theory is presented. The neighborhood relationship between the voxels is exploited to provide a more accurate modeling of the information and to determine the class of a pattern to classify. Fuzzy logic theory is used to automatic estimate mass function using pixel membership degrees witch is estimated at pixel level. We illustrate the effectiveness of the method in segmentation of synthetic images.