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
通讯作者地址：[Jiang, Z.-L] School of Mechanical Engineering, Shandong UniversityChina;
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.