An Improved C-V Image Segmentation Method Based On Level Set Model

摘要：

Image segmentation method based on Chan-Vese level set model has wide potential application.However its complex computing restricts its application.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 good separation effects.

作者: Lingling Xu Jinsheng Xiao Benshun Yi Lijun Lou

作者单位: School of Electronic Information,Wu han University,Wuhan 430079,Hubei,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）