%0 Journal Article
%T Strain Gauge Image De-Noising Based on Fuzzy Morphology<br>基于模糊形态学的应变片去噪
%A YAN Xiao-Qiang
%A WANG Rang-Ding
%A BAO Ji-Long
%A ZHENG De-Chun
%A <br>闫晓强
%A 王让定
%A 鲍吉龙
%A 郑德春
%J 计算机系统应用
%D 2010
%I 
%X Suppressing the noise of strain gauge in acquisition and transmission is the key in identification and installation. For blurring the details while using the morphology to de-noise. This paper introduces a new algorithm for de-noise the strain gauge image by dividing the image and giving the fuzzy morphology operation, then open and close operation are applied to image to realize de-noise. The simulations in this paper prove that it can perfectly restrain noise and keep image details.
%K fuzzy morphology
%K membership function
%K fuzzy dilation
%K fuzzy erode<br>模糊形态学
%K 隶属函数
%K 模糊膨胀
%K 模糊腐蚀
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=1F724D7E61117DA73D869429910C7EAA&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=59906B3B2830C2C5&sid=0C191C6ECF79047F&eid=E2E0FBFE4D7EFB94&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=12