Acta Photonica Sinica, Volume. 52, Issue 2, 0210001(2023)

Evaluation of Camouflage Effectiveness Model Based on Disruptive Coloration and Background Guided Fusion

Yin ZHANG... Pengyuan DING, Guiyi ZHU, Mengwei SHI and Junhua YAN* |Show fewer author(s)
Author Affiliations
  • Key Laboratory of Space Photoelectric Detection and Perception,Ministry of Industry and Information Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
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    Figures & Tables(14)
    Flow chart of Camouflage effectiveness evaluation
    Schematic diagram of surface disruption characterization model
    Image complexity distribution of the dataset
    The 30th image of the Search_2 dataset
    The 42th image of the CamData dataset
    Fitting curves of our method and subjective results in Search_2 dataset
    Fitting curves of our method and subjective results in CamData dataset
    The typical images of the dataset
    • Table 1. Comparison results of subjective and objective consistency of detection probability of different methods in Search_2 dataset

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      Table 1. Comparison results of subjective and objective consistency of detection probability of different methods in Search_2 dataset

      AlgorithmPLCCSRCCRMSE
      Ours(Back+Dis)0.888 10.772 70.053 6
      Ours(Back)0.881 00.765 20.055 3
      Ours(Dis)0.213 50.181 00.118 1
      PCDGM170.800 20.690 50.070 0
      UIQI30.579 80.564 10.095 2
      GabRat90.045 30.185 10.116 8
    • Table 2. Comparison results of subjective and objective consistency of search time of different methods in Search_2 dataset

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      Table 2. Comparison results of subjective and objective consistency of search time of different methods in Search_2 dataset

      AlgorithmPLCCSRCCRMSE
      Ours(Back+Dis)0.873 90.774 52.340 0
      Ours(Back)0.869 40.773 52.377 9
      Ours(Dis)0.088 40.220 14.794 7
      PCDGM170.664 80.714 93.610 5
      UIQI30.643 70.666 93.683 4
      GabRat90.107 80.298 54.785 0
    • Table 3. Comparison results of subjective and objective consistency of detection probability of different methods in CamData dataset

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      Table 3. Comparison results of subjective and objective consistency of detection probability of different methods in CamData dataset

      AlgorithmPLCCSRCCRMSE
      Ours(Back+Dis)0.835 30.805 10.125 5
      Ours(Back)0.231 80.160 60.222 1
      Ours(Dis)0.817 10.769 10.131 6
      PCDGM170.349 70.332 00.213 9
      UIQI30.055 00.090 10.227 9
      GabRat90.579 00.569 30.186 1
    • Table 4. Comparison results of subjective and objective consistency of search time of different methods in CamData dataset

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      Table 4. Comparison results of subjective and objective consistency of search time of different methods in CamData dataset

      AlgorithmPLCCSRCCRMSE
      Ours(Back+Dis)0.834 00.759 90.726 8
      Ours(Back)0.146 90.009 51.217 5
      Ours(Dis)0.817 60.721 70.701 3
      PCDGM170.286 80.219 41.204 7
      UIQI30.193 10.047 01.194 6
      GabRat90.498 20.583 23.406 1
    • Table 5. Typical image evaluation results

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      Table 5. Typical image evaluation results

      Image numberEdge disruption

      Surface

      disruption

      Texture similarityStructural similarityColor similarityWeight N

      results

      Assessment

      Detection probability
      Fig. 8(a)0.486 40.950 10.779 40.249 40.446 60.873 20.878 70.142 9
      Fig. 8(c)0.454 10.808 20.789 50.193 50.400 10.856 10.731 30.500 0
      Fig. 8(e)0.281 90.450 50.838 90.624 40.593 90.080 60.694 80.887 1
      Fig. 8(g)0.286 20.284 90.740 00.560 50.444 80.095 10.383 70.967 7
    • Table 6. Results of mask error comparison experiments

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      Table 6. Results of mask error comparison experiments

      MaskPixel numberAssessment resultsRelative error/%
      True Mask2 2270.744 4/
      Comparison Mask 12 3400.752 31.061 2
      Comparison Mask 22 2200.747 10.362 7
      Comparison Mask 31 9650.721 83.036 0
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    Yin ZHANG, Pengyuan DING, Guiyi ZHU, Mengwei SHI, Junhua YAN. Evaluation of Camouflage Effectiveness Model Based on Disruptive Coloration and Background Guided Fusion[J]. Acta Photonica Sinica, 2023, 52(2): 0210001

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    Paper Information

    Category:

    Received: Aug. 2, 2022

    Accepted: Oct. 14, 2022

    Published Online: Mar. 28, 2023

    The Author Email: YAN Junhua (yjh9758@126.com)

    DOI:10.3788/gzxb20235202.0210001

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