Acta Optica Sinica, Volume. 42, Issue 2, 0210002(2022)

Target Detection Method Based on Antigrowth

Shijie Deng1, Haiyan Wang1、*, An Xu1, Chunqing Gao2, and Junbing Li1
Author Affiliations
  • 1College of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xian, Shaanxi 710038, China
  • 2Unit 94582 of the Chinese Peoples Liberation Army, Shangqiu, Henan 476000, China
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    Figures & Tables(13)
    Flow of proposed algorithm
    Experimental data. (a) Original image; (b) objectives; (c) synthesis of data
    Detection effects of different algorithms at different thresholds. (a)--(c) SAM algorithm; (d) proposed algorithm
    Time complexity of proposed algorithm under different initial number of points
    Target growth process. (a) 1st layer; (b) 2nd layer; (c) 3rd layer; (d) 4th layer; (e) dentification result
    Root node optimization process. (a) Short chain growth result; (b) adjacent frequency
    Background growth process. (a) 1st layer; (b) 2nd layer; (c) 3rd layer; (d) 4th layer; (e) against result
    Position of missing and overlapping pixels and final recognition effect. (a) Comprehensive display effect; (b) missing pixels; (c) overlapping pixels; (d) determination effect
    Detection effects of different algorithms. (a) Original images; (b) truth ground; (c) CEM algorithm; (d) ACE algorithm; (e) WCM-OSP algorithm; (f) DERSG algorithm; (g) AG algorithm
    ROCs of different algorithms under different datasets. (a) Data 1; (b) data 2; (c) data 3; (d) data 4
    • Table 1. Detection probability and false alarm probability of different algorithms

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      Table 1. Detection probability and false alarm probability of different algorithms

      AlgorithmThresholdPd /%Pf /%
      C=0.052014.030
      SAMC=0.070036.840.08
      C=0.078445.332.05
      Proposed algorithmC1=0.0520,C2=0.070045.330.08
    • Table 2. Detection probability and false alarm rate of different algorithms when detection probability is 90%

      View table

      Table 2. Detection probability and false alarm rate of different algorithms when detection probability is 90%

      DataParameterCEMACEWCM-OSPAGDESRG
      1Pd /%90.00
      Pf /%0.110.2513.480.0734.00
      2Pd /%90.00
      Pf /%0.831.1057.320.7683.77
      3Pd /%90.00
      Pf /%1.186.321.730.090.34
      4Pd /%90.00
      Pf /%0.260.284.560.2015.34
    • Table 3. Average running time of different algorithms when detection probability is 90%

      View table

      Table 3. Average running time of different algorithms when detection probability is 90%

      ParameterCEMACEWCM-OSPAGDESRG
      Average time /s6.4831.376.6743.5932.28
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    Shijie Deng, Haiyan Wang, An Xu, Chunqing Gao, Junbing Li. Target Detection Method Based on Antigrowth[J]. Acta Optica Sinica, 2022, 42(2): 0210002

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    Paper Information

    Category: Image Processing

    Received: Apr. 15, 2021

    Accepted: Aug. 16, 2021

    Published Online: Jan. 24, 2022

    The Author Email: Wang Haiyan (m15934858087@163.com)

    DOI:10.3788/AOS202242.0210002

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