Infrared Technology, Volume. 47, Issue 6, 770(2025)

UV Image Discharge Spot Segmentation for Electrical Equipment Based on Improved U-net

Wanke SHEN1, Luojingyi LI1, Chunhua FANG1、*, Quancai JIANG1, Jiewei LU2, Xingyu XIA1, and Wanzhao PENG1
Author Affiliations
  • 1College of Electrical Engineering & Renewable Energy, Chain Three Gorges University, Yichang 443002, China
  • 2Kaihua Power Supply Company of State Grid Zhejiang Electric Power Company, Quzhou 324000, China
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    References(6)

    [8] [8] Brito K B, Costa E G, Dias B A, et al. Development of DIP-based algorithm for extraction of UV video attributes from corona discharges on polymeric insulators[J].International Journal of Electrical Power & Energy Systems, 2022,134: 107406.

    [18] [18] Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]//18th International Conference Medical Image Computing and Computer-assisted Intervention–MICCAI, 2015: 234-241.

    [19] [19] Karen S, Andrew Z. Very Deep Convolutional Networks for Large-scale Image Recognition[C]//International Conference on Learning Representations. arXiv preprint arXi: 1409.1556, 2015.

    [21] [21] Oktay O, Schlemper J, Folgoc LL, et al. Attention U-Net: learning where to look for the pancreas[J]. arXiv preprint arXiv. 2018: 1804.03999.

    [22] [22] ZHAO H, SHI J, QI X, et al. Pyramid Scene Parsing Network[C]//2017IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Honolulu: IEEE, 2017: 6230-6239.

    [23] [23] CHEN L C, ZHU Y, Papandreou G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[J/OL]. (2018-08-22)[2022-08-19]. https://arxiv.org/abs/1802.02611.

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    SHEN Wanke, LI Luojingyi, FANG Chunhua, JIANG Quancai, LU Jiewei, XIA Xingyu, PENG Wanzhao. UV Image Discharge Spot Segmentation for Electrical Equipment Based on Improved U-net[J]. Infrared Technology, 2025, 47(6): 770

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    Paper Information

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    Received: Aug. 28, 2023

    Accepted: Jul. 3, 2025

    Published Online: Jul. 3, 2025

    The Author Email: FANG Chunhua (1801238638@qq.com)

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