An Optimal Initialization Technique for Improving the Segmentation Performance of Chan-Vese Model

摘要：

In level set method,initialization mode not only influences evidently the implementation efficiency but also relates directly to the final results.The paper presents an new initialization scheme for improving the segmentation performance of Chan-Vese model.The proposed initialization scheme consists of two stages.The first stage computes rough edges by using canny edge detection operator.The second stage removes noise edges and redundant edges by a morphological filter,and generates closed contours by iteratively connecting edge points according to a local cost function.In comparison with the primal Chan-Vese model,experimental data show that the Chan-Vese model equipped with our initialization scheme provides superior segmentation results and takes less computational cost.

关键词： Initialization Level set method Closed contour Image segmentation

作者: Renbo Xia Weijun Liu Jibin Zhao Lun li

作者单位: Advanced Manufacture Lab,Shenyang Institute of Automation, Chinese Academy of Sciences,Shenyang,Liaoning Province,China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）