Acta Optica Sinica, Volume. 45, Issue 16, 1610003(2025)

Displacement Field Solving Method for Speckle Images Based on Self-Supervised Learning

Yiming Zhang1,2, Fangnan Hao1,2, Zili Xu1,2、*, and Guang Li1,2
Author Affiliations
  • 1School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi , China
  • 2State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an 710049, Shaanxi , China
  • show less
    Figures & Tables(17)
    Principle of traditional speckle displacement field solution method
    Self-supervised learning framework for speckle images
    Solution results of rigid motion displacement field
    Solution results of linear displacement field
    Spatial distributions of error in solving rigid motion displacement field
    Spatial distributions of error in solving linear displacement field
    Solution results of star displacement field
    Spatial distributions of error in solving star displacement field
    Comparison of star displacement field solution results in different spatial frequency regions. (a) Line distributions of displacement field for x=90; (b) error curves for x=90; (c) line distributions of displacement field for x=290; (d) error curves for x=290
    Solution results of rotation displacement field
    Spatial distributions of error in solving rotation displacement field
    Speckle images with different Gaussian spot parameters
    Results of illumination robustness test. (a) Case 1; (b) case 2; (c) case 3
    Comparison of computational efficiency
    • Table 1. Comparison of average solution errors for different displacement field cases

      View table

      Table 1. Comparison of average solution errors for different displacement field cases

      CaseComponentMean solution error /pixel
      NcorrDICNetSSL-DIC
      Rigid motion displacement fieldu0.00880.07210.0076
      v0.00840.05300.0044
      Linear displacement fieldu0.02930.05160.0126
      v0.02800.05490.0083
      Star displacement fieldv0.91911.68050.0610
      Rotation displacement fieldu13.34001.8450
      v11.98001.8720
    • Table 2. Parameter settings for simulation of illumination changes

      View table

      Table 2. Parameter settings for simulation of illumination changes

      Case No.Contrast /%Gray-scale bias
      19020
      28010
      370-5
    • Table 3. Comparison of solution error in illumination robustness test

      View table

      Table 3. Comparison of solution error in illumination robustness test

      MethodCase 1Case 2Case 3
      Ncorr0.01120.01200.0129
      DICNet0.09490.11540.1821
      SSL-DIC0.00540.00590.0066
    Tools

    Get Citation

    Copy Citation Text

    Yiming Zhang, Fangnan Hao, Zili Xu, Guang Li. Displacement Field Solving Method for Speckle Images Based on Self-Supervised Learning[J]. Acta Optica Sinica, 2025, 45(16): 1610003

    Download Citation

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

    Category: Image Processing

    Received: Apr. 2, 2025

    Accepted: May. 26, 2025

    Published Online: Aug. 18, 2025

    The Author Email: Zili Xu (zlxu@mail.xjtu.edu.cn)

    DOI:10.3788/AOS250835

    CSTR:32393.14.AOS250835

    Topics