Laser Journal, Volume. 45, Issue 4, 65(2024)

Research on damage identification and classification of optical thin film components based on deep learning

MENG Yong... SU Junhong*, YANG Guoliang and WANG Guixia |Show fewer author(s)
Author Affiliations
  • School of Optoelectronic Engineering, Xi’an Technological University, Xi’an 710021, China
  • show less
    References(4)

    [1] [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] [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] [10] Singh N, Delwiche M J. Machine Vision methods for defect Sorting Stonefruit[J]. Transactions of the ASAE, 1994, 37(6): 1989-1997.

    [13] [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.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Oct. 17, 2023

    Accepted: Nov. 26, 2024

    Published Online: Nov. 26, 2024

    The Author Email: Junhong SU (sujhong@163.com)

    DOI:10.14016/j.cnki.jgzz.2024.04.065

    Topics