Color Cerebrovascular Image Skeleton Extraction Algorithm Based on Level Set Model
基于Level Set模型的彩色脑血管图像骨架提取算法

Skeleton extraction is a challenging subject of computer vision theory and applications and has an important application value. Based on the characteristics analysis of medical color images of cerebrovascular, this paper introduced a Level Set speed function using color gradient information and bayesian classification,proposed HSV space high-speed model,and put forward the skeleton extraction algorithm for color cerebrovascular image on the basis of this model.This algorithm uses two new intermediate function, whose all parameters arc obtained by analysis, so avoid the artificial interference. Experiments show that this algorithm is not sensitive to gradual changing of colors and the boundary noise and has good validity and robustness.