Research on image target recognition of defects in steel structure welded joints

Rongguo Zhao

doi:10.1117/12.2684996

1 August 2023 Research on image target recognition of defects in steel structure welded joints

Rongguo Zhao

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 1275435 (2023) https://doi.org/10.1117/12.2684996
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

In this paper, the nondestructive testing and defect image signal recognition system for special welding of steel structure is researched and developed. The system not only makes use of the powerful computing power of the computer, integrates the relative software and hardware resources, but also realizes the functions of defect location, identification, display, channel control, storage and printing, etc., which greatly improves the cost performance of the instrument, and at the same time improves the intelligence of the instrument, making manual flaw detection more simple and flexible. The combination of modern digital signal processing and pattern recognition technology promotes the welding nondestructive testing technology, which not only improves the accuracy of testing, but also obtains the quantitative results of testing, such as the size, location and nature of welding defects.

Citation Download Citation

Rongguo Zhao "Research on image target recognition of defects in steel structure welded joints", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 1275435 (1 August 2023); https://doi.org/10.1117/12.2684996

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