Local and Global Intensity Information Integrated Geodesic Model for Image Segmentation

Abstract

In this paper, we propose a novel active contour model for image segmentation integrating the local and global intensity information into the geodesic model. A signed pressure forces function based on the statistical information of gray intensity is used to replace the edge stopping function in the traditional geodesic model. The minimization of the energy of contour is implemented by level set method with a binary level set function avoiding the problem of reinitializing the traditional level set function to a signed distance function. Experimental results show the proposed model can obtain improved segmentation result compared to related method. It can effectively prevent the boundary leakage while maintaining robustness against the initialization position.