A detection algorithm of spatter on welding plate surface based on machine vision
| Autor: | Zhao-liang Jiang, Peng-fei Xu, Xin-miao Xia |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Machine vision Computer science 02 engineering and technology Welding Condensed Matter Physics 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials law.invention 010309 optics symbols.namesake 020210 optoelectronics & photonics Fourier transform Robustness (computer science) law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering symbols Electrical and Electronic Engineering Photonics business Algorithm |
| Zdroj: | Optoelectronics Letters. 15:52-56 |
| ISSN: | 1993-5013 1673-1905 |
| DOI: | 10.1007/s11801-019-8104-7 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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