A detection algorithm of spatter on welding plate sur-face based on machine vision
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.
基金项目：This work has been supported by the National Natural Science Foundation of China (No.51175304), and the Natural Science Foundation of Shandong Province (No.ZR2017MEE052).
JIANG Zhao-liang：School of Mechanical Engineering, Shandong University, Jinan 250061, ChinaKey Laboratory of High Efficiency and Clean Machine Manufacturing, Ministry of Education, Shandong University, Jinan 250061, China
XU Peng-fei：School of Mechanical Engineering, Shandong University, Jinan 250061, China
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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): 52-56
XIA Xin-miao,JIANG Zhao-liang,XU Peng-fei. A detection algorithm of spatter on welding plate sur-face based on machine vision[J]. Optoelectronics Letters, 2019, 15(1): 52-56