Medical Image Segmentation Based on GVF Snake Model

摘要：

In this paper,the GVF snake model with the initial contour obtained by interactive method based on the adaptive threshold segmentation is proposed for the medical image segmentation. Firstly, input a line segment intersecting the desired object edge by user interaction. Find the max gradient magnitude where the cross-point is along the line segment Then calculate the adaptive gray threshold and use growth algorithm to obtain the object area whose contour is the initial contour for the GVF model. Experiment shows that this algorithm can obtain the boundaries of the desired object from medical images quickly,accurately and reliably with little user interaction.

关键词： medical image interaction segmentation GVF snake model initial contour adaptive threshold

作者: Wu Bingrong Xie Mei Li Guo Gao Jingjing

作者单位: University of Electronic Science and Technology of China Zhongshan Institute Zhongshan, China University of Electronic Science and Technology of China Zhongshan Institute Zhongshan,China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 637-640

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）