%0 Journal Article
%T PET preform defect detection based on RANSAC and uniformity of grey level<br>基于RANSAC和灰度一致性的PET瓶胚口缺陷检测
%A YIN Xuan-wu
%A WANG Gui-jin
%A SHI Chen-bo
%A HE Bei
%A LIU Bo
%A LIAO Qing-min
%A <br>尹玄武
%A 王贵锦
%A 施陈博
%A 何　贝
%A 刘　博
%A 廖庆敏
%J 计算机应用研究
%D 2012
%I 
%X To detect the defect on the mouth of the PET preform in modern high-speed production line, this paper proposed a detection algorithm based on RANSAC and the uniformity of gray level. The algorithm located the mouth of the preform accurately through the RANSAC method and then detected the defect on the surface by checking the uniformity of grey level. Experiments show the algorithm achieve short execution time and high accuracy. For a typical image of 640×480, the execution time is in 10 ms/frame. And the algorithm can meet the real time requirements of the high-speed production line.
%K industrial inspection
%K mouth of PET preform
%K RANSAC（radom sample consensus）
%K ellipse fitting
%K grey level uniformity<br>工业检测
%K PET瓶胚口
%K 随机抽样一致性
%K 椭圆拟合
%K 灰度一致性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=22653CDAF59BBDC13923884D54F0341B&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=C5346158F3485FA3&eid=2A8C56C3FC89961B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11