• Laser Journal
  • Vol. 45, Issue 4, 65 (2024)
MENG Yong, SU Junhong*, YANG Guoliang, and WANG Guixia
Author Affiliations
  • School of Optoelectronic Engineering, Xi’an Technological University, Xi’an 710021, China
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    DOI: 10.14016/j.cnki.jgzz.2024.04.065 Cite this Article
    MENG Yong, SU Junhong, YANG Guoliang, WANG Guixia. Research on damage identification and classification of optical thin film components based on deep learning[J]. Laser Journal, 2024, 45(4): 65 Copy Citation Text show less
    References

    [1] Y Wang, Wang Y, Yu M, et al. Optical Image Damage Detection Technology Based on Convolutional Neural Networks[J]. IOP Conference Series: Earth and Environmental Science, 2020, 510(2): 205-211.

    [6] Wang Min, Zhou Jian Bin, Ouyang Xiao Ping, et al. Gaussian shaper for nuclear pulses based on multilevel cascade convolution[J]. Nuclear Science and Techniques, 2022, 33(12): 90-105.

    [10] Singh N, Delwiche M J. Machine Vision methods for defect Sorting Stonefruit[J]. Transactions of the ASAE, 1994, 37(6): 1989-1997.

    [13] He K, Zhang X, Ren S, et al. Deep Residual Learning for Image Recognition[C]//IEEE Conference on Computer Vision & Pattern Recognition. IEEE Computer Society, 2016.

    MENG Yong, SU Junhong, YANG Guoliang, WANG Guixia. Research on damage identification and classification of optical thin film components based on deep learning[J]. Laser Journal, 2024, 45(4): 65
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