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Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210003(2022)

Image Feature Extraction in Nuclear Radiation Environment

Wenkai Zhang1,2, Feng Xu1,2、*, and Jin Li1,2
Author Affiliations
  • 1School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, Sichuan , China
  • 2Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Mianyang 621010, Sichuan , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (10)
    References (21)
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    Figures & Tables(10)
    Image in nuclear environment

    Fig. 1. Image in nuclear environment

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    Distribution of noise block

    Fig. 2. Distribution of noise block

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    FAST features in image patch block

    Fig. 3. FAST features in image patch block

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    Noise location detection in real-world environment. (a) Threshold is 0.4; (b) threshold is 0.5; (c) threshold is 0.6;(d) threshold is 0.7

    Fig. 4. Noise location detection in real-world environment. (a) Threshold is 0.4; (b) threshold is 0.5; (c) threshold is 0.6;(d) threshold is 0.7

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    Screening results of features in real-world environment. (a) Image before screening; (b) set 50 features; (c) set 100 features; (d) set 150 features

    Fig. 5. Screening results of features in real-world environment. (a) Image before screening; (b) set 50 features; (c) set 100 features; (d) set 150 features

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    Extraction results in real-world environment. (a) Image 1; (b) image 2; (c) image 3

    Fig. 6. Extraction results in real-world environment. (a) Image 1; (b) image 2; (c) image 3

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    Results of ANF algorithm compared with FAST algorithm

    Fig. 7. Results of ANF algorithm compared with FAST algorithm

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    • Table 1. Comparison of relative time of feature extraction

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      Table 1. Comparison of relative time of feature extraction

      Number of featuresBRISKKAZEANF
      505.1286.9665.077
      1005.8287.0735.454
      1506.3387.6276.111

    • Table 2. Rejection rate of feature extraction

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      Table 2. Rejection rate of feature extraction

      Is /%ANFFASTBRISK
      0.010.99110.98540.9823
      0.030.97540.93770.9429
      0.050.92790.88930.8988
      0.070.92650.86220.8611
      0.090.89920.83710.8258

    • Table 3. Number of noise points contained in features

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      Table 3. Number of noise points contained in features

      Is /%ANFFASTBRISK
      0.01112325
      0.0324113128
      0.0554166186
      0.0770214232
      0.09125326333
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    Wenkai Zhang, Feng Xu, Jin Li. Image Feature Extraction in Nuclear Radiation Environment[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210003

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    Paper Information

    Category: Image Processing

    Received: Apr. 21, 2021

    Accepted: Jun. 2, 2021

    Published Online: May. 23, 2022

    The Author Email: Feng Xu (xufeng@swust.edu.cn)

    DOI:10.3788/LOP202259.1210003

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology