Infrared Technology, Volume. 42, Issue 8, 809(2020)

Automatic Fault Region Extraction Using PCNN Hierarchical Clustering

Xiaolu XU1,2、*, Wen ZHOU1,2, Dongguo ZHOU3, Shiqin ZHU1,2, Hui NI1,2, and Chuanxian LUO1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(5)

    [1] [1] Jadin M S, Taib S. Recent progress in diagnosing the reliability of electrical equipment by using infrared thermography[J]. Infrared Physics & Technology, 2012, 55(4): 236-245.

    [15] [15] Kuntimad G, Ranganath H S. Perfect image segmentation using pulse coupled neural networks[J]. IEEE Transactions on Neural Networks, 1999, 10(3): 591-598.

    [16] [16] Menardi G. A review on modal clustering[J]. International Statistical Review, 2016, 84(3): 413-433.

    [17] [17] Cope P K, Rockett P I. Efficacy of Gaussian smoothing in Canny edge detector[J]. Electronic Letters, 2000, 36(19): 1615-1616.

    [19] [19] CHENG Yizong. Mean shift, mode seeking, and clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(8): 790-799.

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    XU Xiaolu, ZHOU Wen, ZHOU Dongguo, ZHU Shiqin, NI Hui, LUO Chuanxian. Automatic Fault Region Extraction Using PCNN Hierarchical Clustering[J]. Infrared Technology, 2020, 42(8): 809

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    Paper Information

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    Received: Dec. 13, 2019

    Accepted: --

    Published Online: Nov. 6, 2020

    The Author Email: Xiaolu XU (505787574@qq.com)

    DOI:

    CSTR:32186.14.

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