Laser & Optoelectronics Progress, Volume. 56, Issue 10, 101009(2019)
Classification of Chopped Strand Mat Defects Based on Convolutional Neural Network
[1] Deng H P, Bo S Q[J]. Correlation offiberglass chopped strand mat strength with its binder Fiber Glass, 2015, 18-21.
[3] Szegedy C, Liu W, Jia Y Q, Pattern Recognition, 7-12 June et al. Boston, MA, USA. New York: IEEE, 15523970(2015).
[10] Yang W, Wanli O Y, Li H S, Pattern Recognition, 27-30 June et al. Las Vegas, NV, USA. New York: IEEE, 16541427(2016).
[11] Zeiler M D, Fergus R[M]. Visualizing and understanding convolutional networks, 818-833(2014).
[12] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks. [C]∥International Conference on Neural Information Processing Systems. Dickinson: Curran Associates Inc., 1097-1105(2012).
[13] Hearst M A, Dumais S T, Osuna E et al. Support vector machines[J]. IEEE Intelligent Systems and their Applications, 13, 18-28(1998).
[14] Oquab M, Bottou L, Laptev I, Pattern Recognition, 23-28 June et al. Columbus, OH, USA. New York: IEEE, 14632209(2014).
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Dong Zhuo, Junfeng Jing, Huanhuan Zhang, Zebin Su. Classification of Chopped Strand Mat Defects Based on Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(10): 101009
Category: Image Processing
Received: Oct. 29, 2018
Accepted: Dec. 14, 2018
Published Online: Jul. 4, 2019
The Author Email: Junfeng Jing (jingjunfeng0718@sina.com)