%0 Journal Article
%T Retinal Vessel Image Segmentation and Three-dimensional Reconstruction of Retinal Vessel<br>视网膜血管图像分割及眼底血管三维重建
%A DAI Pei-Shan WANG Bo-Liang JU Ying Institute of Biomedical Engineering
%A School of Info-physics
%A Geometrics Engineering
%A Central South University
%A Changsha
%A <br>戴培山
%A 王博亮
%A 鞠颖
%J 自动化学报
%D 2009
%I 
%X Retinal vessel appearance is an important indicator for many early diagnoses, including diabetes, hypertension, and arteriosclerosis. Computer processing can help doctors' work and a retinal vessel image segmentation algorithm was proposed. A local normalization algorithm was used to eliminate background differences. Expectation-maximization algorithm was used to classify the pixels into several classes to obtain segmentation results. At last, based on the anatomical and physiological characteristics of the eye, a reconstruction method to reconstruct three-dimensional retinal vessel was realized by inverse projection theory. The model can be viewed from different directions.
%K Retinal vessel image
%K blood vessel image segmentation
%K eliminating background differences
%K expectation-maximization algorithm
%K three-dimensional retinal vessel model<br>视网膜血管图像
%K 血管图像分割
%K 背景均衡
%K 期望最大化算法
%K 三维眼底血管模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=C9B3A29C74FE23FD4E6DBA54AF874B09&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=9CF7A0430CBB2DFD&sid=C4690645D4CCDCE7&eid=2613941CBDF71B5D&journal_id=0254-4156&journal_name=自动化学报&referenced_num=1&reference_num=0