Infrared Technology, Volume. 44, Issue 12, 1351(2022)

Deep Residual UNet Network-based Infrared Image Segmentation Method for Electrical Equipment

He LIU1, Tiancheng ZHAO1, Junbo LIU1, Lixin JIAO1, Zhihao XU2, and Xiaocui YUAN2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(4)

    [3] [3] ZOU H, HUANG F. A novel intelligent fault diagnosis method for electrical equipment using infrared thermography[J]. Infrared Physics & Technology, 2015, 73: 29-35.

    [7] [7] LIN K C, LAI C S. Fault recognition system of electrical components in scrubber using infrared images[C]//International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, 2003: 1303-1310.

    [17] [17] CHEN Z, ZHU H. Visual quality evaluation for semantic segmentation: subjective assessment database and objective assessment measure[J]. IEEE Transactions on Image Processing, 2019, 28(12): 5785-5796.

    Tools

    Get Citation

    Copy Citation Text

    LIU He, ZHAO Tiancheng, LIU Junbo, JIAO Lixin, XU Zhihao, YUAN Xiaocui. Deep Residual UNet Network-based Infrared Image Segmentation Method for Electrical Equipment[J]. Infrared Technology, 2022, 44(12): 1351

    Download Citation

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

    Category:

    Received: Mar. 25, 2022

    Accepted: --

    Published Online: Feb. 4, 2023

    The Author Email:

    DOI:

    Topics