Open AccessAdaptive modal decomposition based overlapping-peaks extraction for thickness measurement in chromatic confocal microscopy
Author(s) -
Jiafu Li,
Yanlong Zhao,
Hua Du,
Xiaoping Zhu,
Kai Wang,
Mengying Zhao
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.410177
Subject(s) - optics , chromatic scale , centroid , modal , materials science , chromatic aberration , monte carlo method , wavelength , computer science , algorithm , physics , artificial intelligence , mathematics , statistics , polymer chemistry
Accurate overlapping-peaks extraction plays a critical role in chromatic confocal thickness measurement of ultra-thin transparent film. However, the current algorithms usually appear as a perceptible extraction error resulting from the disturbing influence among peaks in the process of fitting the spectral axial response signal (sARS) of the two measuring surfaces. In this paper, we propose an adaptive modal decomposition method to extract multi peaks for the ultra-thin materials. With this method, the sARS can be firstly decomposed into several sub-modes, which can be used to obtain the peak wavelength of each measuring surface by the existing single peak extraction algorithms, such as the centroid method and Gauss fitting method. Monte Carlo simulations and experimental tests demonstrate that the proposed algorithm has significant improvements over the existing nonlinear fitting algorithms in terms of peak extraction accuracy and precision.