3D Fast Level Set Image Segmentation Based on Chan-Vese Model

摘要：

In this paper, we propose 3D fast level set segmentation base on Chan-Vese Model. Define the signed distance as integers without computation, and creative construct the evolution speed field of surface by the partial differential equation for Chan-Vese model (only the sign is velocity is used), we implement 3D fast level set segmentation without solving partial differential equation. It preserve the advantages of Chan-Vese model that detect objects whose boundaries are not necessarily defined by gradient or without edges. Finally we present some segmentation experiment for 2D and 3D medical image.

关键词： Level set 3D segmentation partial differential equation

作者: Dong Jianyuan Hao Chongyang

作者单位: Department of Electronics and Information NorthWestern Polytechnical University xian,China,710072

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）