A Variation Level Set Formulation Local Based C-V Model for Medical Images Segmentation

摘要：

　　Local image information is crucial for accurate segmentation of images with intensity inhomogeneity which usually occurs in medical images.However,image information in local region is not incorporated in popular region-based active contour models,such as piecewise constant models and piecewise smooth models.In this paper,a method which is able to use local information is proposed.The main point is the introduction of the local fitting information expressed by a kernel function which is crncinl for segmentation.Our method is based on piecewise constant Chan-Vese model,and compare with different methods for several synthetic images and medical images.

关键词： GACM mediccal image segmentation intensity imhomogeneity C-V model

作者: Yan Yu Chaobing Huang Ling Li

作者单位: Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education;K Key Laboratory of Robotics and Intelligent System of Guangdong Province;Shenzhen Institutes of Advan

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 539-542

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）