• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1612001 (2021)
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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    DOI: 10.3788/LOP202158.1612001 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Sub-region images before and after deformation
    Fig. 1. Sub-region images before and after deformation
    GMS basic principle diagram
    Fig. 2. GMS basic principle diagram
    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
    Matching results of translation speckle
    Fig. 4. Matching results of translation speckle
    Matching results of rotating speckle
    Fig. 5. Matching results of rotating speckle
    Matching results of Gaussian deformation speckle
    Fig. 6. Matching results of Gaussian deformation speckle
    Displacement comparison
    Fig. 7. Displacement comparison
    Calculation error comparison
    Fig. 8. Calculation error comparison
    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 1. Results of translation speckle
    Rotation angleTheoretical value /pixelTraditional algorithmProposed algorithm
    Measurement /pixelTime /sError /pixelMeasurement /pixelTime /sError /pixel
    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 2. Results of rotating speckle
    ParameterTraditoinal algorithmProposed algorithmProposed algorithm 2
    Time /s7.1800.1650.260
    Table 3. Calculation time of different algorithms
    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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