%0 Journal Article
%T A NONLINEAR METHOD FOR EDGE DETECTION OF LOW SNR IMAGE
低信噪比图象边缘提取的非线性方法
%A Lei Xiangkang
%A Zhou Manli
%A
雷向康
%A 周曼丽
%J 电子与信息学报
%D 1991
%I
%X A nonlinear method for detecting the edge of low-SNR image is developed. This method adopts the filtering in large window to smooth the noise and the nonlinear diffe-rential operator in small window to detect the edges. A criterion of noise-guided threshold selection is introduced to segment the derivative image so that the threshold can be determined automatically. In large window's filtering, the technique of 2-D convolution implementation by two 1-D convolutions in series is taken to reduce the storage space of the filter. Finally, the performance of this method is evaluated, and experimental results are given.
%K Image processing
%K Edge detection
%K Nonlinear defferential operator
%K Exponential filter
图象处理
%K 边缘提取
%K 非线性微分算子
%K 指数滤波器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=403AC50AC881BD76&yid=116CB34717B0B183&vid=FC0714F8D2EB605D&iid=CA4FD0336C81A37A&sid=59906B3B2830C2C5&eid=13553B2D12F347E8&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=8