Shape-Based Level Set Method for Image Segmentation

摘要：

In this paper, a level set method with shape model is proposed for image segmentation. Because the level set model proposed by Chan and Vese can not work well on some specific shape, this paper adds the shape knowledge into the segmentation method. The Chan-Vese level set model is applied to get initial segmentation. And then the position and the size of the pre-segmented region will be calculated to establish the shape models. Finally the proposed method is applied to segment the region more correctly on the image with specific shape. In the last of this paper, we will show our experimental results. The proposed method is compared with the Chan-Vese model to prove that using the shape models to segment the image with specific shape will surely get the better results.

关键词： level set method image segmentation shape model

作者: Chieh-Ling Huang

作者单位: Dept. of Computer Science and Information Engineering Chang Jung Christian University Tainan, Taiwan

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）