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

• 来源期刊: 光电子快报（英文版）
• 年，卷（期）: 2019,（1）
• 页码范围: 52-56
• 页数: 5页
• 语种: 英文
• DOI: 10.1007/s11801-019-8104-7

摘要

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.