Variational Image Segmentation on Implicit Surface Using Split-Bregman Method

摘要：

The coupling images and their underlying surfaces results in complex implementation and low computing efficiency of image segmentation on surfaces. For the piecewise constant and smooth image segmentation on surface, the traditional Chan-Vese models are transformed to variational level set models on implicit surfaces and computed by using fast SplitBregman methods in this paper. Additionally, the Split-Bregman methods are implemented based on the corresponding globally convex models to avoid the effects of contour initialization in segmentation results. Comparisons of experiment results validate the superiority of the models and algorithms presented in this paper.

关键词： Image segmentation variational methods implicit surface Chan-Vese model Split-Bregman method

作者: Qi Wang Weibo Wei Zhenkuan Pan

作者单位: College of Information Engineering, Qingdao University Qingdao, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 340-345

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）