Online inspection of narrow overlap weld quality using two-stage convolution neural network image recognition

Author:

Miao RuiORCID,Jiang Zihang,Zhou Qinye,Wu Yizhou,Gao Yuntian,Zhang Jie,Jiang Zhibin

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference39 articles.

1. Zhang, C.: Resistance welding technology and its application equipment. Electron. Technol. 24(5), 201–203 (2017)

2. Yang, J., Li, Z., Fan, L., et al.: Weld surface defect detection system based on linear laser scanning. Welding 2, 19–23 (2016)

3. Fei, Z., Yang, E., Hu, H., et al.: Review of machine vision-based electronic travel aids. In: Automation and Computing (ICAC), 23rd International Conference on. IEEE, 2017, pp. 1–7 (2017)

4. Singhka, D.K.H., Neogi, N., Mohanta, D.: Surface defect classification of steel strip based on machine vision. In: Computer and Communications Technologies (ICCCT), 2014 International Conference on IEEE, pp. 1–5 (2014)

5. Zhang, Y., Liu, S., Cao, J., et al.: Wood board image processing based on dual-tree complex wavelet feature selection and compressed sensing. Wood Sci. Technol. 50(2), 1–15 (2016)

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