%0 Journal Article
%T Automated Detection of Optic Nerve Boundary Based on L~*a~*b~* Color Space<br>基于L~*a~*b~*色彩空间的视神经边缘自动提取
%A LI Ju-Peng
%A CHEN Hou-Jin
%A YU Jiang-Bo
%A ZHANG Xin-Yuan
%A <br>李居朋
%A 陈后金
%A 于江波
%A 张新媛
%J 自动化学报
%D 2009
%I 
%X The parameters of optic nerve, such as shape, area, depth and so on, are the important indices to estimate the retinal health. Extraction of the optic nerve boundary is the precondition for quantifying these parameters. To accurately identify the boundary, a new method to detect the exact optic nerve boundary is proposed based on the L*a*b* color space in this paper. Using morphology and region-aided geometric snake in the L*a*b* color space, the method applies the automatic optic nerve localization base on cross-network to realize the automatic extraction of optic nerve boundary. The feasibility of the new method has been successfully tested for the DRIVE fundus image databases and our clinic images.
%K Optic nerve boundary detection
%K L*a*b* color space
%K adaptable morphology
%K region-aided geometric snake (RAGS)<br>视神经边缘提取
%K L*a*b*色彩空间
%K 自适应形态学
%K 区域辅助几何轮廊模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=04DC6783F00A5A1CC9221726DC0B3FD8&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=CA4FD0336C81A37A&sid=89F76E117E9BDB76&eid=F24949CFDB502409&journal_id=0254-4156&journal_name=自动化学报&referenced_num=1&reference_num=15