基于Level Set模型的彩色脑血管图像骨架提取算法  

Color Cerebrovascular Image Skeleton Extraction Algorithm Based on Level Set Model

作　　者：吴健[1] 崔志明[1] 徐婧[1] 曹妍妍[1] 

机构地区：[1]苏州大学智能信息处理及应用研究所,苏州215006

出　　处：《计算机科学》2009年第12期278-281,共4页Computer Science

基　　金：国家自然科学基金项目(60970015);2008年江苏省重大科技支撑与自主创新项目(BE2008044);苏州市应用基础研究(工业)项目(SYJG0927)资助

摘　　要：骨架提取是计算机视觉理论与应用中极具挑战性的课题,具有重要的应用价值。在分析医学彩色脑血管图像特性的基础上,引入一种基于颜色梯度信息和贝叶斯分类的水平集速度函数,提出了HSV空间高速模型,并基于该模型提出了用于彩色脑血管图像的骨架提取算法。该算法使用了两个新的中间函数,它的全部参数均由分析得到,避免了人工干涉。实验证明,该算法对颜色渐变和边界噪声不敏感,具有很好的有效性和鲁棒性。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 eerebrovascular, 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 are 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.

关 键 词：LEVEL Set模型 彩色图像 脑血管图像 骨架提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]