A lightweight deep learning method for real-time weld feature extraction under strong noise
Author:
Funder
China Scholarship Council
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03459-9.pdf
Reference32 articles.
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3. Huang, W., Kovacevic, R.: Development of a real-time laser-based machine vision system to monitor and control welding processes. Int. J. Adv. Manuf. Technol. 63, 235–248 (2012)
4. Yang, L., Fan, J., Huo, B., Li, E., Liu, Y.: Image Denoising of Seam images with Deep Learning for Laser Vision Seam Tracking. IEEE Sens. J. 22, 6098–6107 (2022)
5. Fan, J., Jing, F., Fang, Z., Tan, M.: Automatic recognition system of welding seam type based on SVM method. Int. J. Adv. Manuf. Technol. 92, 989–999 (2017). https://doi.org/10.1007/s00170-017-0202-8
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