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A detection algorithm of spatter on welding plate surface based on machine vision

  • Optoelectronics Letters
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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 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.

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Authors and Affiliations

  1. School of Mechanical Engineering, Shandong University, Jinan, 250061, China

    Xin-miao Xia  (夏新苗), Zhao-liang Jiang  (姜兆亮) & Peng-fei Xu  (许鹏飞)

  2. Key Laboratory of High Efficiency and Clean Machine Manufacturing, Ministry of Education, Shandong University, Jinan, 250061, China

    Zhao-liang Jiang  (姜兆亮)

Authors
  1. Xin-miao Xia  (夏新苗)
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  2. Zhao-liang Jiang  (姜兆亮)
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  3. Peng-fei Xu  (许鹏飞)
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Corresponding author

Correspondence to Zhao-liang Jiang  (姜兆亮).

Additional information

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).

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Xia, Xm., Jiang, Zl. & Xu, Pf. A detection algorithm of spatter on welding plate surface based on machine vision. Optoelectron. Lett. 15, 52–56 (2019). https://doi.org/10.1007/s11801-019-8104-7

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  • DOI: https://doi.org/10.1007/s11801-019-8104-7

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