Segmentation and Detection of Industrial Surface Defect Based on Deep Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2730-2_59
Reference33 articles.
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3. De, V.G.A., Foglia, P., Prete, C.A.: Row-level algorithm to improve real-time performance of glass tube defect detection in the production phase. IET Image Proc. 14(12), 2911–2921 (2020). https://doi.org/10.1049/iet-ipr.2019.1506
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5. Zheng, X., Zheng, S., Kong, Y., Chen, J.: Recent advances in surface defect inspection of industrial products using deep learning techniques. Int. J. Adv. Manuf. Technol. 113(1–2), 35–58 (2021). https://doi.org/10.1007/s00170-021-06592-8
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