• Optoelectronics Letters
  • Vol. 15, Issue 1, 52 (2019)
Xin-miao XIA1, Zhao-liang JIANG1、2、*, and Peng-fei XU1
Author Affiliations
  • 1School of Mechanical Engineering, Shandong University, Jinan 250061, China
  • 2Key Laboratory of High Efficiency and Clean Machine Manufacturing, Ministry of Education, Shandong University, Jinan 250061, China
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    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.
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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]. Optoelectronics Letters, 2019, 15(1): 52
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    Received: Jun. 20, 2018
    Accepted: Aug. 16, 2018
    Posted: Jan. 1, 2019
    Published Online: Apr. 11, 2019
    The Author Email: Zhao-liang JIANG (jiangzhaoliang@sdu.edu.cn)