XIA Xin-miao,JIANG Zhao-liang,and 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 A detection algorithm of spatter on welding plate sur-face based on machine vision Author Name Affiliation XIA Xin-miao  School of Mechanical Engineering, Shandong University, Jinan 250061, China  JIANG Zhao-liang  School of Mechanical Engineering, Shandong University, Jinan 250061, China Key Laboratory of High Efficiency and Clean Machine Manufacturing, Ministry of Education, Shandong University, Jinan 250061, China  and XU Peng-fei  School of Mechanical Engineering, Shandong University, Jinan 250061, China  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 frequency and phase information of image, and the elliptical high-pass filter is introduced to filter the low-frequency signal. The experi-mental 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 Hits: 1105 Download times: 0 View Full Text    Download reader