Study on Image Segmentation Based on C-V Model
Cunhua Li · Journal of Huaihai Institute of Technology · 2009
Active contour model has been successfully applied in image segmentation.It can be edge-based or region-based.During the evolution,the key issue is to force the level set function to be close to a signed distance function.CHAN-VESE(C-V) model can detect objects whose boundaries are not necessarily defined by gradient.Based on Mumford-Shah functional for segmentation and level sets,it is weak in preserving distance.In this paper,we proposed a method to address the issue of the distance preserving based on a study of the C-V model.