Influence of the sampling density on the noise level in displacement and strain maps obtained by processing periodic patterns

被引：14

作者：

Qin, Siyi ^{[1
]}

Grediac, Michel ^{[2
]}

Blaysat, Benoit ^{[2
]}

Ma, Shaopeng ^{[3
]}

Sur, Frederic ^{[4
]}

机构：

[1] Beijing Inst Technol, Beijing, Peoples R China

[2] Univ Clermont Auvergne, Inst Pascal, SIGMA Clermont Inst Pascal, CNRS,UMR 6602, Clermont Ferrand, France

[3] Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Dept Engn Mech, Shanghai, Peoples R China

[4] Univ Lorraine, INRIA, CNRS, LORIA,UMR 7503, Nancy, France

来源：

MEASUREMENT | 2021年 / 173卷

关键词：

Checkerboard; Digital image correlation; Grid method; Heteroscedastic noise; Localized Spectrum Analysis; Metrology; Optimal pattern; Uncertainty quantification; Windowed Fourier transform; DIGITAL IMAGE CORRELATION; ERRORS;

D O I：

10.1016/j.measurement.2020.108570

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The aim of this study is to investigate the influence of the sampling density of periodic patterns such as checkerboards or 2D grids on the noise level observed in displacement and strain maps extracted from such images. A spectral method named Localized Spectrum Analysis (LSA) is used to process the images. It is shown that this parameter influences this noise level. This influence is quantified, and a power law is proposed to model it, with a value of the power identified with the measurements. It is also confirmed that checkerboards give a lower noise level than 2D grids, with an improvement which is also quantified, and which increases as the sampling density increases.

引用

页数：15

共 54 条

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[2]

[Anonymous], 2005, PCO IMAGING TECH REP

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