%0 Journal Article
%T A Study on Edge Location Error of Second Derivative Edge Detection Operators<br>二阶导数型边缘检测算子边缘定位误差的研究
%A Xu Zhixiang
%A <br>许志祥
%J 自动化学报
%D 1992
%I 
%X Two edge detection operators of second derivative model, the discrete Laplacian of Gaussian (DLOG) and Laplacian of binomial distribution (LOB) operators are introduced in this paper. A digital edge contaminated by an independent Gaussian noise is used as an edge image model. After convolving the image model with the edge detection operators of second derivative model, a plane fitting in the least squares sense is used to detect the zero crossing points as edge points. The Probabilities P_d of edge location and the Probabilities P_f of false edge detection are derived to compare the performances of various edge detection operators of second derivative model.
%K Edge detection operator
%K zero crossing of second derivative
%K image processing
%K computer vision<br>图象处理
%K 边缘检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=B7DF4B65E36D6FB11A47D2088313836F&yid=F53A2717BDB04D52&vid=13553B2D12F347E8&iid=E158A972A605785F&sid=A6683C8C0EB9BCA7&eid=366B1248A15658C5&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=2