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基于主成分分析的相移干涉测量法。

Phase-shifting interferometry based on principal component analysis.

机构信息

Laboratorio de Instrumentación Espacial, Instituto Nacional de Técnica Aeroespacial, Carretera de Ajalvir Km 4, 28850 Torrejón de Ardoz, Madrid, Spain.

出版信息

Opt Lett. 2011 Apr 15;36(8):1326-8. doi: 10.1364/OL.36.001326.

DOI:10.1364/OL.36.001326
PMID:21499345
Abstract

An asynchronous phase-shifting method based on principal component analysis (PCA) is presented. No restrictions about the background, modulation, and phase shifts are necessary. The presented method is very fast and needs very low computational requirements, so it can be used with very large images and/or very large image sets. The method is based on obtaining two quadrature signals by the PCA algorithm. We have applied the proposed method to simulated and experimental interferograms, obtaining satisfactory results.

摘要

提出了一种基于主成分分析(PCA)的异步相移方法。不需要对背景、调制和相移进行任何限制。所提出的方法非常快速,所需的计算要求非常低,因此可以与非常大的图像和/或非常大的图像集一起使用。该方法基于 PCA 算法获得两个正交信号。我们已经将所提出的方法应用于模拟和实验干涉图,获得了令人满意的结果。

相似文献

1
Phase-shifting interferometry based on principal component analysis.基于主成分分析的相移干涉测量法。
Opt Lett. 2011 Apr 15;36(8):1326-8. doi: 10.1364/OL.36.001326.
2
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Analysis of the principal component algorithm in phase-shifting interferometry.相移干涉测量中主成分算法分析。
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5
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Phase extraction from randomly phase-shifted interferograms by combining principal component analysis and least squares method.通过结合主成分分析和最小二乘法从随机相移干涉图中提取相位
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