• Laser & Optoelectronics Progress
  • Vol. 59, Issue 18, 1836001 (2022)
Jiawei Shen1, Na Sun2, Fangjian Xing1、*, Zixian Guo1, and Junpeng Shi1
Author Affiliations
  • 1School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, Jiangsu, China
  • 2School of Physics and Technology, Nanjing Normal University, Nanjing 210023, Jiangsu, China
  • show less
    DOI: 10.3788/LOP202259.1836001 Cite this Article Set citation alerts
    Jiawei Shen, Na Sun, Fangjian Xing, Zixian Guo, Junpeng Shi. [J]. Laser & Optoelectronics Progress, 2022, 59(18): 1836001 Copy Citation Text show less
    Numerical processing flow of the whole algorithm
    Fig. 1. Numerical processing flow of the whole algorithm
    Normalized intensity varing with pixel number when performing IDFT to the fringe pattern
    Fig. 2. Normalized intensity varing with pixel number when performing IDFT to the fringe pattern
    Detail of axial profiles of three optimization methods. (a) Comparison of ten axial reflectance profiles in a logarithmic scale when a reflector performs as the sample; (b) enlarged inset that is from the box of Fig. 3 (a)
    Fig. 3. Detail of axial profiles of three optimization methods. (a) Comparison of ten axial reflectance profiles in a logarithmic scale when a reflector performs as the sample; (b) enlarged inset that is from the box of Fig. 3 (a)
    The cross-sectional images of Scotch tape. (a) The IDFT is performed when the interpolation is applied based on two interferograms; (b) the IDFT is performed following after the optimization of pixel number; (c) the result is performed based on the empirical optimization method; (d) the signal intensity of five different positions marked in Fig. 4 (a)-(c), EO is empirical optimization
    Fig. 4. The cross-sectional images of Scotch tape. (a) The IDFT is performed when the interpolation is applied based on two interferograms; (b) the IDFT is performed following after the optimization of pixel number; (c) the result is performed based on the empirical optimization method; (d) the signal intensity of five different positions marked in Fig. 4 (a)-(c), EO is empirical optimization
    Percentage of pixel number from Fig. 4(a)-(c) that the pixel intensity ranges in top 20%, top 20%-40%, and residual 60%
    Fig. 5. Percentage of pixel number from Fig. 4(a)-(c) that the pixel intensity ranges in top 20%, top 20%-40%, and residual 60%
    The cross-sectional images of multilayer glass slices. (a) The IDFT is performed when the interpolation is applied based on two interferograms; (b) the IDFT is performed after the optimization of pixel number; (c) the result is realized based on the empirical optimization method; (d) the signal sensitivity of five different positions marked in Fig. 6(a)-(c)
    Fig. 6. The cross-sectional images of multilayer glass slices. (a) The IDFT is performed when the interpolation is applied based on two interferograms; (b) the IDFT is performed after the optimization of pixel number; (c) the result is realized based on the empirical optimization method; (d) the signal sensitivity of five different positions marked in Fig. 6(a)-(c)
    Percentage of pixel number from Fig. 6(a)-(c) that the pixel intensity ranges in top 20%, top 20%-40%,and residual 60%
    Fig. 7. Percentage of pixel number from Fig. 6(a)-(c) that the pixel intensity ranges in top 20%, top 20%-40%,and residual 60%
    Jiawei Shen, Na Sun, Fangjian Xing, Zixian Guo, Junpeng Shi. [J]. Laser & Optoelectronics Progress, 2022, 59(18): 1836001
    Download Citation