Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Acta Optica Sinica, Volume. 38, Issue 8, 0812002(2018)

Improved Digital Image Correlation Method Based on Gray Gradient Denoised by Regularization Method

Chenglin Zheng1,3、*, Dingding He2,3, and Qingguo Fei1,3、*
Author Affiliations
  • 1 School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu 211189, China
  • 2 School of Civil Engineering, Southeast University, Nanjing, Jiangsu 210096, China
  • 3 Institute of Aerospace Machinery and Dynamics, Southeast University, Nanjing, Jiangsu 211189, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
    Equations (0)
    References (28)
    Cited By (7)
    Tools
    Paper Information
    Topics
    Figures & Tables(8)
    Numerical simulation of speckle image

    Fig. 1. Numerical simulation of speckle image

    Download full size
    Absolute relative error of gray gradient in image sub-region after adding noise

    Fig. 2. Absolute relative error of gray gradient in image sub-region after adding noise

    Download full size
    Calculation errors of three algorithms with different sub-pixel displacements. (a) Mean error; (b) standard deviation error

    Fig. 3. Calculation errors of three algorithms with different sub-pixel displacements. (a) Mean error; (b) standard deviation error

    Download full size
    Calculation errors of three algorithms with different noise levels. (a) Absolute value of mean error; (b) standard deviation error

    Fig. 4. Calculation errors of three algorithms with different noise levels. (a) Absolute value of mean error; (b) standard deviation error

    Download full size
    Anti-noise ability test system with digital image correlation method

    Fig. 5. Anti-noise ability test system with digital image correlation method

    Download full size
    Absolute error of three algorithms with theoretical shift of 0 pixel. (a) Finite difference; (b) spline interpolation; (c) Tikhonov regularization

    Fig. 6. Absolute error of three algorithms with theoretical shift of 0 pixel. (a) Finite difference; (b) spline interpolation; (c) Tikhonov regularization

    Download full size

    • Table 1. Calculation errors and computation time of three algorithms with theoretical displacement of 0.3 pixel

      View table

      Table 1. Calculation errors and computation time of three algorithms with theoretical displacement of 0.3 pixel

      AlgorithmMean error /pixelStandard deviation /pixelComputation time /s
      Finite difference0.00790.01814.3
      Spline interpolation0.00860.01924.5
      Tikhonov regularization0.00240.01527.1

    • Table 2. Calculation errors of three algorithms with theoretical displacement of 0 pixel

      View table

      Table 2. Calculation errors of three algorithms with theoretical displacement of 0 pixel

      AlgorithmMean value /pixelStandarddeviation /pixel
      Finite difference0.01560.0125
      Spline interpolation0.01600.0133
      Tikhonovregularization0.00970.0050
    Tools

    Get Citation

    Copy Citation Text

    Chenglin Zheng, Dingding He, Qingguo Fei. Improved Digital Image Correlation Method Based on Gray Gradient Denoised by Regularization Method[J]. Acta Optica Sinica, 2018, 38(8): 0812002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Dec. 11, 2017

    Accepted: Mar. 24, 2018

    Published Online: Sep. 6, 2018

    The Author Email:

    DOI:10.3788/AOS201838.0812002

    Topics

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