Research on x-ray weld seam image quality evaluation methods

Ruifeng Wang; Weixin Gao; Guohao Deng; Yang Xiao; Yuqing Li

doi:10.1117/12.3012497

21 December 2023 Research on x-ray weld seam image quality evaluation methods

Ruifeng Wang, Weixin Gao, Guohao Deng, Yang Xiao, Yuqing Li

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129702A (2023) https://doi.org/10.1117/12.3012497
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

The automatic assessment of X-ray weld image quality is an important basis for the automatic assessment of weld image defects. For ring weld X-ray welds, inspectors judge the image quality through human vision and physical blackness meter, which can easily lead to staff fatigue and thus misjudgment, to achieve an automatic assessment of X-ray weld image quality, this paper combines the subjective evaluation results with objective evaluation algorithms to propose a digital blackness meter model suitable for automatic assessment calculations, and gives the ring weld quality assessment algorithm The results show that the sensitivity of the proposed method can reach 98%. The results show that the proposed method has a sensitivity of 98. 5% and a specificity of 100%.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ruifeng Wang, Weixin Gao, Guohao Deng, Yang Xiao, and Yuqing Li "Research on x-ray weld seam image quality evaluation methods", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129702A (21 December 2023); https://doi.org/10.1117/12.3012497

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