Infrared Technology, Volume. 44, Issue 7, 750(2022)

Leakage Source Detection Based on Thermal Imaging

Yu YANG1,2, Chaoguang HE1,2, Yuan TU1,2, Jiefeng ZHAO1,2, Xiaoping ZHOU1,2, and Lijun TANG1,2、*
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(4)

    [1] [1] LIU Dunnan, HOU Rui, LI Qiang, et al. Research on fuzzy enhancement algorithms for infrared image recognition quality of power internet of things equipment based on membership function[J]. Journal of Visual Communication and Image Representation, 2019, 62(1): 359-367.

    [2] [2] ZHENG Zhaoping, ZENG Hansheng, DING Cuijiao, et al. Summary on the infrared thermal imaging temperature measurement technology and its application[J]. Infrared Technology, 2003, 25(1): 96-98.

    [4] [4] BAI Honggang, JIN Yingji. Application of infrared technology in military[J]. Journal of Engineering College of Armed Police Force, 2008(6): 5-7.

    [7] [7] Alwan Hassan M, Volkov A N, Shbani A. Solution of inverse and forward kinematics problems for mobile robot with six mecanum wheels[C]//IOP Conference Series: Materials Science and Engineering, 2021, 1094(1): 012071.

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    YANG Yu, HE Chaoguang, TU Yuan, ZHAO Jiefeng, ZHOU Xiaoping, TANG Lijun. Leakage Source Detection Based on Thermal Imaging[J]. Infrared Technology, 2022, 44(7): 750

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    Paper Information

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    Received: May. 26, 2021

    Accepted: --

    Published Online: Aug. 2, 2022

    The Author Email: Lijun TANG (tanglj@csust.edu.cn)

    DOI:

    CSTR:32186.14.

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