The Improvement of C-V Level Set Method for Image Segmentation

摘要

The Chan-Vese level set method has wide potential application as an image segmentation method. But the complex computing restricts its application field. In order to improve the speed of image segmentation, this paper presents a new level set initialization method on Chan-Vese level set model. After a simple iterative, we can separate out the outline of objects. Experiments show that the method is simple and efficient, with better separation effects than the old method.