Acta Optica Sinica, Volume. 41, Issue 16, 1612005(2021)

Camouflage Object Detection Technology with Binary Fringe Projection

Fei Wang1, Jiaxu Cai1, Yanjuan Pan1, Dongdong Xi1, Yuwei Wang1,2, and Lu Liu1,2、*
Author Affiliations
  • 1School of Engineering, Anhui Agricultural University, Hefei, Anhui 230036, China
  • 2Anhui Engineering Laboratory of Intelligent Agricultural Machinery and Equipment, Hefei, Anhui 230036, China
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    Figures & Tables(13)
    Triangulation structure diagram
    Binary fringe projection-acquisition process
    Principal flow chart of camouflage object detection technology
    Schematic diagram of extracting shadow partial mask image
    Detection area and camouflage object model. (a) Three-dimensional model of detection area; (b) vertical view of camouflage object; (c) three-dimensional model of camouflage object
    Influence of different SNR noise intensities on camouflage detection. (a)--(c) Fringe patterns of proposed method; (d)--(f) fringe patterns of Ref. [6] method; (g)--(i) camouflage detection results of proposed method; (j)--(l) camouflage detection results of Ref. [6] method
    Influence of filter blur on camouflage detection. (a)--(c) Fringe patterns of proposed method; (d)--(f) fringe patterns of Ref. [6] method; (g)--(i) camouflage detection results of proposed method; (j)--(l) camouflage detection results of Ref. [6] method
    Influence of fringe period on camouflage detection. (a)--(e) Fringes with 20, 40, 60, 80, and 100 pixel fringes period; (f)--(j) camouflage detection results with 20, 40, 60, 80, and 100 pixel fringes period
    Schematic diagram of real experiment
    Process and result charts of camouflage detection in real experimental environment. (a)--(c) Experimental environment 1; (d)--(f) experimental environment 2; (g)--(i) experimental environment 3
    Comparison of real experimental camouflage detection results. (a) Experimental environment; (b) Ref. [6] method; (c) proposed method
    • Table 1. Comparison of correct rate and SSIM values under different SNR noise intensities

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      Table 1. Comparison of correct rate and SSIM values under different SNR noise intensities

      ItemProposed methodRef. [6] method
      SNR /dB181614181614
      Number of correct points639463586172509750264989
      Correct rate /%99.9599.3996.4881.1480.1278.49
      SSIM /%99.9899.8298.8387.8785.4380.31
    • Table 2. Comparison of correct rate and SSIM value under different filter blurs

      View table

      Table 2. Comparison of correct rate and SSIM value under different filter blurs

      ItemProposed methodRef. [6] method
      σ135135
      Number of correct points639763086239626861416093
      Correct rate /%100.0098.6196.4499.7897.7696.99
      SSIM /%100.0098.7797.9299.6398.4898.17
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    Fei Wang, Jiaxu Cai, Yanjuan Pan, Dongdong Xi, Yuwei Wang, Lu Liu. Camouflage Object Detection Technology with Binary Fringe Projection[J]. Acta Optica Sinica, 2021, 41(16): 1612005

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Feb. 8, 2021

    Accepted: Apr. 9, 2021

    Published Online: Aug. 12, 2021

    The Author Email: Lu Liu (vliulu@ahau.edu.cn)

    DOI:10.3788/AOS202141.1612005

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