Spectrum analysis of the local fringe-frequency extraction method

Ping Sun; Nan Shao; Hua Zhang

doi:10.1117/12.2648544

14 October 2022 Spectrum analysis of the local fringe-frequency extraction method

Ping Sun, Nan Shao, Hua Zhang

Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123432C (2022) https://doi.org/10.1117/12.2648544
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China

Abstract

The Window Fourier Ridge (WFR) is one of the useful methods in local frequency extraction from a fringe pattern. But the background of the pattern and the inherent noises existed in the pattern will disturb the extracted result, which need to be removed before operation. To solve this problem, we modify the WFR method by spectrum normalization of the fringe pattern in its frequency domain. Then, the accuracy of the extracted local fringe frequency is enhanced greatly due to the inhibition of the disturbance from its background. The principle of the normalized spectrum method is detailed by spectrum analysis of the fringe pattern. The conducted simulations and experiment results show that the local fringe-frequency estimated from the fringe pattern with background by the proposed method is as good as that from the fringe pattern without background by traditional WFR method.

Citation Download Citation

Ping Sun, Nan Shao, and Hua Zhang "Spectrum analysis of the local fringe-frequency extraction method", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123432C (14 October 2022); https://doi.org/10.1117/12.2648544

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KEYWORDS

Fringe analysis

Spectrum analysis

Fourier transforms

Amplitude modulation

Gaussian filters

MATLAB

Michelson interferometers

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