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Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1612001(2021)

Digital Image Correlation Method Based on Dense Feature Matching

Fangxi Tan1, Shide Xiao1,2、*, Shengyao Li1, and Liangjun Zhou1
Author Affiliations
  • 1School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China
  • 2Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, Sichuan 610031, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (23)
    Cited By (5)
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    Figures & Tables(11)
    Sub-region images before and after deformation

    Fig. 1. Sub-region images before and after deformation

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    GMS basic principle diagram

    Fig. 2. GMS basic principle diagram

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    Speckle pattern used in experiment. (a) Simulated speckle pattern; (b) gray histogram

    Fig. 3. Speckle pattern used in experiment. (a) Simulated speckle pattern; (b) gray histogram

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    Matching results of translation speckle

    Fig. 4. Matching results of translation speckle

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    Matching results of rotating speckle

    Fig. 5. Matching results of rotating speckle

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    Matching results of Gaussian deformation speckle

    Fig. 6. Matching results of Gaussian deformation speckle

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    Displacement comparison

    Fig. 7. Displacement comparison

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    Calculation error comparison

    Fig. 8. Calculation error comparison

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    • Table 1. Results of translation speckle

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      Table 1. Results of translation speckle

      Theoretical value /pixelTraditional algorithmProposed algorithm
      Measurement /pixelTime /sError /pixelMeasurement /pixelTime /sError /pixel
      0.10.1016452.4000.0016450.1016540.2540.001654
      0.20.2020642.8040.0020640.2020580.2490.002058
      0.40.4006092.2990.0006090.4006110.2510.000611
      0.80.7956662.631-0.0043340.7956650.323-0.004335
      1.61.5964903.348-0.0035101.5965200.245-0.003480
      3.23.2020603.1490.0020603.2020600.2480.002060
      6.46.4000304.4420.0000306.4000400.2470.000040
      12.812.7956005.313-0.00440012.7956000.260-0.004400
      25.625.5967007.369-0.00330025.5968000.267-0.003200

    • Table 2. Results of rotating speckle

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      Table 2. Results of rotating speckle

      Rotation angleTheoretical value /pixelTraditional algorithmProposed algorithm
      Measurement /pixelTime /sError /pixelMeasurement /pixelTime /sError /pixel
      5°9.96199.96416.2460.00229.96510.4250.0032
      10°9.84819.84536.414-0.00289.84550.434-0.0026
      15°9.65939.66256.4410.00329.66240.4220.0031
      20°9.39699.39276.416-0.00429.39300.454-0.0039
      25°9.06319.06046.135-0.00279.06020.486-0.0029
      30°8.66038.65606.726-0.00438.65600.333-0.0043

    • Table 3. Calculation time of different algorithms

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      Table 3. Calculation time of different algorithms

      ParameterTraditoinal algorithmProposed algorithmProposed algorithm 2
      Time /s7.1800.1650.260
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    Fangxi Tan, Shide Xiao, Shengyao Li, Liangjun Zhou. Digital Image Correlation Method Based on Dense Feature Matching[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1612001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Oct. 20, 2020

    Accepted: Dec. 8, 2020

    Published Online: Aug. 19, 2021

    The Author Email: Shide Xiao (sdxiao@swjtu.cn)

    DOI:10.3788/LOP202158.1612001

    Topics

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