Paper
1 December 2021 Study of x-ray image defect detection methods for girth welds
Dan Wang, Weixin Gao
Author Affiliations +
Proceedings Volume 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering; 1207925 (2021) https://doi.org/10.1117/12.2622733
Event: 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 2021, Xi'an, China
Abstract
This paper summarizes the research results on defect segmentation and recognition by researchers at home and abroad. Through analysis, it is found that deep learning has an absolute advantage in seam defect segmentation based on X-ray. In the field of weld defect identification, the application of intelligent algorithm has become the mainstream of research.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Wang and Weixin Gao "Study of x-ray image defect detection methods for girth welds", Proc. SPIE 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 1207925 (1 December 2021); https://doi.org/10.1117/12.2622733
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KEYWORDS
Detection and tracking algorithms

Image segmentation

Neural networks

X-rays

Defect detection

Evolutionary algorithms

X-ray imaging

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