Skip to Main content Skip to Navigation
Journal articles

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

Siyi Qin 1 Michel Grédiac 2 Benoît Blaysat 2 Shaopeng Ma 3 Frédéric Sur 4, 5, 6
4 MAGRIT-POST - Augmentation visuelle d'environnements complexes
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
5 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
6 TANGRAM - Recalage visuel avec des modèles physiquement réalistes
Inria Nancy - Grand Est, UL - Université de Lorraine, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry, CNRS - Centre National de la Recherche Scientifique
Abstract : 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.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-02965328
Contributor : Frédéric Sur <>
Submitted on : Wednesday, April 7, 2021 - 12:07:55 PM
Last modification on : Saturday, April 10, 2021 - 3:07:05 AM

File

qin21influence.pdf
Files produced by the author(s)

Identifiers

Citation

Siyi Qin, Michel Grédiac, Benoît Blaysat, Shaopeng Ma, Frédéric Sur. Influence of the sampling density on the noise level in displacement and strain maps obtained by processing periodic patterns. Measurement, Taylor & Francis (Routledge), 2021, 173, pp.108570. ⟨10.1016/j.measurement.2020.108570⟩. ⟨hal-02965328⟩

Share

Metrics

Record views

128

Files downloads

29