Acta Photonica Sinica, Volume. 52, Issue 4, 0410005(2023)

Single-frame Infrared Dim Target Detection Based on Guided Filter and Segmented Adaptive Thresholds

Dezhen YANG1...2, Jingying HUANG1, Songlin YU1,*, Jinjun FENG2, Jiangyong LI1 and Tong LIU1 |Show fewer author(s)
Author Affiliations
  • 1North China Research Institute of Electro-optics, Beijing 100015, China
  • 2Beijing Vacuum Electronics Research Institute, Beijing 100015, China
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    Figures & Tables(15)
    Target characteristics for different backgrounds
    The overall algorithm flow
    Background suppression results
    Heat maps corresponding to grayscale values for different areas in the image(zone 2 is the target region)
    Schematic of background suppression results(zone 0 represents the target area and zones 1~8 represents its 8 neighborhoods)
    Background suppression results of different regions and their 3-dimensional characteristics
    The influence of different parameters m on the value k mapping curve
    Ablation experiment results
    Example of different test video figure
    Five typical scenario test figure
    Comparison of visual results of each method in five typical scenarios
    The hardware implementation effect of the proposed method in different complexity scenarios
    • Table 1. Ablation experiments test recall comparison results

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      Table 1. Ablation experiments test recall comparison results

      Data setN=1N=2N=4
      Data187.97%87.97%87.97%
      Data582.87%87.73%84.93%
      Data983.46%85.71%86.22%
    • Table 2. Comparison of SNR and BSF index results of each method

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      Table 2. Comparison of SNR and BSF index results of each method

      Data setRaw imageTop-HatLCMMax-MedOurs
      SNRSNRBSFSNRBSFSNRBSFSNRBSF
      Fig. 10(a)0.474.888.183.641.170.706.8279.58371.45
      Fig. 10(b)0.430.303.051.471.970.053.581.1815.88
      Fig. 10(c)0.400.471.002.411.130.151.332.2116.30
      Fig. 10(d)0.433.595.295.001.221.688.079.4746.99
      Fig. 10(e)0.430.815.155.531.591.1011.913.6338.93
    • Table 3. Comparison of recall rates of various methods in different video data detection

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      Table 3. Comparison of recall rates of various methods in different video data detection

      Data setTop-HatLCMMax-MedOurs
      Data179.45%79.20%1.25%87.97%
      Data583.67%59.87%81.40%84.93%
      Data973.68%47.62%76.69%86.22%
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    Dezhen YANG, Jingying HUANG, Songlin YU, Jinjun FENG, Jiangyong LI, Tong LIU. Single-frame Infrared Dim Target Detection Based on Guided Filter and Segmented Adaptive Thresholds[J]. Acta Photonica Sinica, 2023, 52(4): 0410005

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    Paper Information

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    Received: Jun. 27, 2022

    Accepted: Oct. 18, 2022

    Published Online: Jun. 21, 2023

    The Author Email: YU Songlin (yusir8511@sina.com)

    DOI:10.3788/gzxb20235204.0410005

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