Archive > Volume 15 Issue 1 > 2019,15(1):52-56. DOI:https://doi.org/10.1007/s11801-019-8104-7 CSTR:[cstr] Prev Next
A detection algorithm of spatter on welding plate sur-face based on machine vision
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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 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
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