Infrared Technology, Volume. 42, Issue 10, 988(2020)

Infrared Image ROI Extraction Based on Region Contrast and Random Forest

Lixiang DUAN1、*, Ziwang LIU2, Zhenxin ZHAO3, Xin KONG1, and Zhuang YUAN1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(9)

    [1] [1] WEI W, WEI L, NIE L, et al. Using active thermography and modified SVM for intelligent diagnosis of solder bumps[J]. Infrared Physics and Technology, 2015, 72: 163-169.

    [2] [2] Hewison T J, WU X Q, YU F F, et al. GSICS inter-calibration of infrared channels of geostationary imagers using Metop/IASI[J].IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(3):1160-1170.

    [3] [3] Ring E F J, Ammer K. Infrared thermal imaging in medicine[J].Physiological Measurement, 2012, 33: 33-46.

    [4] [4] HA H, HAN S S, LEE J. Fault detection on transmission lines using a microphone array and an infrared thermal imaging camera[J]. IEEE Transactions on Instrumentation and Measurement, 2012, 61(1):267-275.

    [5] [5] Huda A S N, Taib S, Ghazali K H, et al. A new thermographic NDT for condition monitoring of electrical components using ANN with confidence level analysis[J]. ISA transactions, 2014, 53(3): 717-724.

    [7] [7] CHENG Mingming, Niloy J Mitra. Global contrast based salient region detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015.

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    [10] [10] Achanta R, Hemami S, Estrada F, et al. Frequency-tuned salient region detection[C]//CVPR, 2009: 1597-1604.

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    DUAN Lixiang, LIU Ziwang, ZHAO Zhenxin, KONG Xin, YUAN Zhuang. Infrared Image ROI Extraction Based on Region Contrast and Random Forest[J]. Infrared Technology, 2020, 42(10): 988

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    Paper Information

    Category:

    Received: May. 9, 2018

    Accepted: --

    Published Online: Nov. 25, 2020

    The Author Email: Lixiang DUAN (duanlx@cup.edu.cn)

    DOI:

    CSTR:32186.14.

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