A Medical Image Segmentation Based on Improved Narrow Band Method
Weili Yang, Lei Guo, Tianyun Zhao, Guchu Xiao · 2007
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 transformed 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. INBM's adopts reducing level set function solution's 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.