Improved Vese-Chan Model for Fast Image Segmentation Based on Split Bregman Method

This paper presents an improved active contour model for fast multiphase image segmentation based on the piecewise constant Vese-Chan model and the split Bregman method. We first define a new energy functional by applying the globally convex image segmentation technique to the Vese-Chan energy functional and incorporating the edge information with a non-negative edge detector function. Then we apply the split Bregman method to fast minimize the new energy functional. The efficiency of the improved model compared with the Vese-Chan model is demonstrated by experimental results. This is the main advantage of our improved model over the Vese-Chan model.