一种基于脑血管图像特征的快速边界跟踪算法  

Rapid boundary tracking algorithm based on cerebrovascular image feature

作　　者：孙晓平[1] 吴健[1] 翟海涛[1] 崔志明[1] 

机构地区：[1]苏州大学智能信息处理及应用研究所,江苏苏州215006

出　　处：《计算机应用研究》2009年第4期1569-1571,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60673092);江苏省高校科研成果产业推进工程资助项目(JHB06-26);苏州市科技攻关(工业)资助项目(SGR0703)

摘　　要：在处理复杂的脑血管图像时,经典的边界跟踪算法暴露出边界精度不高、边界不够平滑,且速度不尽人意等缺点。提出了一种新的快速边界跟踪算法,该算法在分析脑血管边缘垂直细节远多于水平细节的特征基础上,结合方向记忆选择搜索方向,并在不同的搜索方向上赋予不同的权值,最终得到下一个边界点。实验表明:该算法提取的脑血管边界平滑、速度快,适合脑血管图像的边界提取,为下一步的脑血管形状特征提取及表示提供了精确的数据准备。When dealing with complex brain vascular images, classic boundary tracking algorithm exposed some disadvantages such as boundary was not high enough smooth, accuracy was limited and its speed was unsatisfied. This paper proposed a new rapid boundary tracking algorithm to solve those problems. Analysed the feature of cerebral vascular image edge that vertical details were more than horizontal details. Based on this feature, determined next border point with memory direction of the search options and different weights to different search directions. Experimental results show the proposed algorithm can get smooth boundary and its performance is enhanced greatly. For the next phase of cerebral vascular shape and feature extraction, the new algorithm provides accurate data.

关 键 词：边界跟踪 方向记忆 八邻域 脑血管图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]