Deep U-NET Based Heating Film Defect Inspection System-Reference-Cited by-同舟云学术

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Deep U-NET Based Heating Film Defect Inspection System

Published:2024-02-06 Issue:4 Volume:25 Page:759-771
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Hwang J. W.,Park H. J.,Yi H.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12541-023-00937-x.pdf

Reference20 articles.

1. Malamas, E., et al. (2003). A survey on industrial vision systems, applications and tools. Image and Vision Computing, 21(2), 171–188.

2. Lee, H., et al. (2023). Non-destructive inspection system for self-piercing riveting in CFRP-metal joining product using stereoscopic method with robotic manipulator. International Journal of Precision Engineering and Manufacturing, 24, 1625–1632.

3. de Morais, M., et al. (2023). A computer vision system for pallets verification in quality control. International Journal of Precision Engineering and Manufacturing, 24, 1221–1234.

4. Park, J., et al. (2016). Machine learning-based imaging system for surface defect inspection. International Journal of Precision Engineering and Manufacturing-Green Technology, 3, 303–310.

5. Kwon, Y., et al. (2023). Anomaly detecting geometric transformation network with outlier exposure defect inspection of real industrial data. International Journal of Precision Engineering and Manufacturing, 24, 73–81.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Hydraulic Cylinder Faults, Diagnostics, and Prognostics;International Journal of Precision Engineering and Manufacturing-Green Technology;2024-06-20

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