Visual inspection system for crack defects in metal pipes
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18684-0.pdf
Reference68 articles.
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2. Zhao Q, Ji T, Liang S et al (2023) PCB surface defect fast detection method based on attention and multi-source fusion. Multimed Tools Appl 1–22. https://doi.org/10.1007/s11042-023-15495-7
3. Zhao X, Li Q, Xiao M et al (2023) Defect detection of 3D printing surface based on geometric local domain features. Int J Adv Manuf Technol 125(1–2):183–194. https://doi.org/10.1007/s00170-022-10662-w
4. Sun J, Li C, Wu XJ et al (2019) An effective method of weld defect detection and classification based on machine vision. IEEE Trans Industr Inf 15(12):6322–6333. https://doi.org/10.1109/TII.2019.2896357
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