标题:A detection algorithm of spatter on welding plate surface based on machine vision
作者:Xia, Xin-miao ;Jiang, Zhao-liang ;Xu, Peng-fei
作者机构:[Xia, X.-M] School of Mechanical Engineering, Shandong University, Jinan, 250061, China;[ Jiang, Z.-L] School of Mechanical Engineering, Shandong Univ 更多
通讯作者:Jiang, Zhaoliang
通讯作者地址:[Jiang, Z.-L] School of Mechanical Engineering, Shandong UniversityChina;
来源:Optoelectronics Letters
出版年:2019
卷:15
期:1
页码:52-56
DOI:10.1007/s11801-019-8104-7
关键词:A
摘要:Welding spatter seriously affects the surface quality of the product. Aiming at the automatic detection problem of spatter on welding plate surface, an in-situ detection algorithm of welding spatter based on machine vision is designed. In the extraction process of the welding spatter, the two-dimensional Fourier transform is adopted to obtain the frequency and phase information of image, and the elliptical high-pass filter is introduced to filter the low-frequency signal. The experimental results show that the proposed algorithm has higher extraction rate and extraction accuracy rate of welding spatter than the threshold method, the rectangular high-pass filter and the Canny operator, and it has the characteristics of high efficiency, high precision, and good robustness. © 2019, Tianjin University of Technology and Springer-Verlag GmbH Germany, part of Springer Nature.
收录类别:EI;SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060447323&doi=10.1007%2fs11801-019-8104-7&partnerID=40&md5=c9cd68d20ebd7f7c7ea799a1e2862e3a
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