%0 Journal Article
%T Color Cerebrovascular Image Skeleton Extraction Algorithm Based on Level Set Model<br>基于Level Set模型的彩色脑血管图像骨架提取算法
%A WU Jian
%A CUI Zhi-min
%A XU Jian
%A CAO Yan-yan
%A <br>吴健
%A 崔志明
%A 徐蜻
%A 曹妍妍
%J 计算机科学
%D 2009
%I 
%X 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.
%K Level set model
%K Color image
%K Cerebrovascular image
%K Skeleton extraction<br>Level
%K Set模型
%K 彩色图像
%K 脑血管图像
%K 骨架提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A41F2B4699292E5DCCA66A48E1391166&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=59906B3B2830C2C5&sid=B4E8EA49DAAEB84F&eid=C1B34927D429E92F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9