Aluminum Foil Surface Defect Recognition Method Based on CNN

Author:

Wang Hui,Gao Chunhua,Wang Pinglian

Publisher

Springer Singapore

Reference11 articles.

1. Sun, Bao-hua, Yue-ping Han, Qing Xu, et al. 2014. Product surface defect detection based on surf algorithm research. Infrared Technology 36 (6): 503–507.

2. Wang, Hui, and Hong Sun. 2017. Robust principal component analysis for aluminum foil surface defects detection. Journal of Signal Processing 33 (4): 577–582.

3. Yang, B., and L. Zou. 2015. Robust foreground detection using block-based RPCA. Optik—International Journal for Light and Electron Optics 126 (23): 4586–4590.

4. Yao, Ming-Hai, Jie Li, and Xian-Bao Wang. 2013. Solar cells surface defects detection using RPCA method. Chinese Journal of Computers 36 (9): 1943–1952.

5. Wang, P., Q. Chen, W. Qian, et al. 2017. Salient motion detection using proximal robust principal component analysis method. Journal of Electronic Imaging 26 (2): 023004.

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