Acta Optica Sinica, Volume. 43, Issue 10, 1010001(2023)

Double Blur Micro-Images Focusing Evaluation Method

Tao Yuan, Dingrong Yi*, Wei Jiang, Yiqing Ye, Dongliang Wu, and Ting Liu
Author Affiliations
  • College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, Fujian , China
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    Figures & Tables(16)
    One-dimensional Gaussian function
    Gaussian function standard deviation varying with gray difference. (a) Theoretical simulation results; (b) experimental verification results
    Edge operators (Gx presents gradient in x direction, and Gy presents gradient in y direction). (a) Sobel operator; (b) Robert operator
    Edge computing images. (a) Lena image; (b) Sobel edge image; (c) Robert edge image; (d) Sobel-Robert edge image
    Haar discrete wavelet decomposition principle
    Wavelet transform images. (a) LL (texture information of the image); (b) LH (horizontal contour of the image); (c) HL (vertical contour of the image); (d) HH (45°and 135° contours of the image)
    Image matrix block decomposition
    Schematic of parallel confocal measurement principle based on DMD
    Verification of sample. (a) Mirror; (b) lattice light
    DB-FEM axial resolution diagram
    Comparison of defocusing evaluation results of uniform plane sample series obtained by DB-FEM and 8 commonly used focusing evaluation functions. (a) Camera exposure time of 2 ms; (b) camera exposure time of 1 ms (camera exposure time affects maximum image gray value)
    Test sample (region 1 is without step change zone, and region 2 contains large step change zone)
    Schematic of layer scanning. (a) Region 1; (b) region 2
    Comparison of experimental data. (a) No step change; (b) large step change
    • Table 1. Performance evaluation of different exposure experiments of a flat mirror

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      Table 1. Performance evaluation of different exposure experiments of a flat mirror

      MethodSharpness ratioSensitivity factorSteepness
      2 ms1 ms2 ms1 ms2 ms1 ms
      DB-FEM1.40×1074.44×1060.6750.1050.2310.262
      Sobel11.209.091.250×10-23.070×10-2
      SML2.4730.403.440×10-33.680×10-46.800×10-26.300×10-2
      SMD2.463.233.450×10-31.300×10-2
      SMD23.323.930.2521.820×10-2
      DCT55.7026.803.680×10-28.310×10-26.480×10-2
      Robert12.6011.209.810×10-32.410×10-2
      Energy36.8030.801.550×10-25.560×10-25.680×10-26.220×10-2
      Brenner48.3042.001.450×10-23.530×10-35.560×10-26.310×10-2
    • Table 2. Performance evaluation of experiments without step

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      Table 2. Performance evaluation of experiments without step

      MethodSharpness ratioSensitivity factorSteepness
      DB-FEM867573.902.2800.492
      Sobel6.780.100
      SML31.900.3880.203
      SMD1.652.630×10-4
      SMD22.189.910×10-3
      DCT21.700.3940.152
      Robert7.790.111
      Energy26.600.1240.152
      Brenner30.800.5690.128
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    Tao Yuan, Dingrong Yi, Wei Jiang, Yiqing Ye, Dongliang Wu, Ting Liu. Double Blur Micro-Images Focusing Evaluation Method[J]. Acta Optica Sinica, 2023, 43(10): 1010001

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    Paper Information

    Category: Image Processing

    Received: Nov. 7, 2022

    Accepted: Dec. 16, 2022

    Published Online: May. 9, 2023

    The Author Email: Yi Dingrong (yidr@hqu.edu.cn)

    DOI:10.3788/AOS221945

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