MR Image Segmentation based on Local Information Entropy

In this paper, an improved Geometric Active Contour model is presented. This model introduced a window function to research the mean information of each pixel’s neighbor region, and constructed a novel signed pressure force function based on the entropy to drive the contour towers the boundary. In order to improve the efficiency and stability of the algorithm, this paper adopts two valued level set method to realize the segmentation process. The experimental results show that this method can obtain satisfied result even when the images have intensity inhomogeneity and weak edges.