%0 Journal Article
%T Adaptive multiscale based algorithm for defect segmentation in welding seam X-ray image<br>基于自适应多尺度焊缝X光图像缺陷分割研究
%A WANG Yan-chun
%A LIANG De-qun
%A WANG Yan
%A XING Yun-ting
%A <br>王彦春
%A 梁德群
%A 王演
%A 邢蕴婷
%J 计算机应用
%D 2008
%I 
%X Defects in welding seam X-ray images include similar circular defects and similar bar defects. According to the theory of multiscale edges detection, the conclusion was drawn that in appropriate scale, circular defects are considered as roof edges in two directions that are orthogonal, while bar defects are viewed as roof edges in one direction. Wavelet scales can be confirmed by region homogeneity measure in this paper. LOG operator and filter scales of steerable filters were actively ascertained in the defect areas so that the two types of defects could be segmented. Theoretical analysis and experimental results show that this algorithm is effective.
%K multiscale edges detection
%K roof edge
%K X-ray image
%K defect segmentation<br>多尺度边缘检测
%K 屋脊边缘
%K X光图像
%K 缺陷分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=CDACEBD8DE91C43FEA2305208B36F3C2&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=708DD6B15D2464E8&sid=6F6DB7E6345096DE&eid=52DD94C3323CD74D&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=15