光电子快报(英文版), 2019, 15 (1): 52, Published Online: Apr. 11, 2019
A detection algorithm of spatter on welding plate sur-face based on machine vision
Abstract
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 fre-quency and phase information of image, and the elliptical high-pass filter is introduced to filter the low-frequency sig-nal. 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.
XIA Xin-miao, JIANG Zhao-liang, XU Peng-fei. A detection algorithm of spatter on welding plate sur-face based on machine vision[J]. 光电子快报(英文版), 2019, 15(1): 52.