Chinese Optics, Volume. 16, Issue 3, 637(2023)

White light interferometry micro measurement algorithm based on principal component analysis

Hao-bo CHEN1,2, Li-wei ZHANG1,2, Wen-qing SUN1,2、*, Bao-hua CHEN1,2, Zhao-liang CAO1,2, and Quan-ying WU1,2
Author Affiliations
  • 1School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou 215009, China
  • 2Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, Suzhou 215009, China
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    A white light interferometry micro measurement algorithm based on principal component analysis is proposed to solve the problem of the phase solution in white light interferometry and realize the height measurement of micro morphology. The white light microscopic interference system is used to collect multiple interferograms and reconstruct them into vector form. From a set of interferograms, the background illumination can be estimated by a temporal average, eliminating background light components. Then, the eigenvalues and eigenvectors representing the original data are obtained by a matrix operation. Finally, the phase distribution is calculated by the arctangent function. Experimental results indicate that the measurement result of a standard step height of 956.05 nm by the proposed method is about 953.66 nm and the solution is approximately consistent with the iterative algorithm. In comparison to the iterative algorithm, the processing speed of the proposed method is 2 orders of magnitude faster. The interference fringes with surface roughness of 0.025 μm is analyzed, the mean of the surface roughness calculated by the proposed method is 24.83 nm, and the sample’s standard deviation is 0.3831 nm. The proposed method improves the deficiency of monochromatic interferometry and has the advantages of high speed, low computational requirements and high accuracy.

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    Hao-bo CHEN, Li-wei ZHANG, Wen-qing SUN, Bao-hua CHEN, Zhao-liang CAO, Quan-ying WU. White light interferometry micro measurement algorithm based on principal component analysis[J]. Chinese Optics, 2023, 16(3): 637

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    Paper Information

    Category: Original Article

    Received: Jul. 26, 2022

    Accepted: Sep. 9, 2022

    Published Online: May. 31, 2023

    The Author Email:

    DOI:10.37188/CO.2022-0172

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