A Medical Image Segmentation Based on Improved Narrow Band Method
Curve evolution based Level Set has been widely used in medical image segmentation. However, the high computational cost excludes its use in robust real-time medical image segmentation. This paper presents a novel segmentation method based on Improved Narrow Band Method (INBM). Firstly, images are transfor med from Cartesian space to log-polar coordinate space. The space invariant theory of human vision system guarantees the focus locates only on the interested region. Then an initial contour of the region is formed before we use INBM to get the segmentation results. INBMs adopts reducing level set function solutions number of narrow band region to decrease the computation. Our experiment results show a significant decrease in computation time, and thus an effective speed up of medical image segmentation.
Weili YANG Lei GUO Tianyun ZhAO Guchu XIAO
College of Automation Northwestern Polytechnical University Xian Shanxi, 710072 China
国际会议
北京
英文
609-613
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）