Towards deconvolution to enhance the grid method for in-plane strain measurement

Frédéric Sur 1 Michel Grediac 2
1 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : The grid method is one of the techniques available to measure in-plane displacement and strain components on a deformed material. A periodic grid is first transferred on the specimen surface, and images of the grid are compared before and after deformation. Windowed Fourier analysis-based techniques permit to estimate the in-plane displacement and strain maps. The aim of this article is to give a precise analysis of this estimation process. It is shown that the retrieved displacement and strain maps are actually a tight approximation of the convolution of the actual displacements and strains with the analysis window. The effect of digital image noise on the retrieved quantities is also characterized and it is proved that the resulting noise can be approximated by a stationary spatially correlated noise. These results are of utmost importance to enhance the metrological performance of the grid method, as shown in a separate article.
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Soumis le : mercredi 5 mars 2014 - 09:33:58
Dernière modification le : mardi 18 décembre 2018 - 16:18:26
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Frédéric Sur, Michel Grediac. Towards deconvolution to enhance the grid method for in-plane strain measurement. Inverse Problems and Imaging , AIMS American Institute of Mathematical Sciences, 2014, 8 (1), pp.259-291. 〈〉. 〈10.3934/ipi.2014.8.259〉. 〈hal-00955703〉



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