DocumentCode :
1657956
Title :
Enhancing with deconvolution the metrological performance of the grid method for in-plane strain measurement
Author :
Sur, Frederic ; Grediac, Michel
Author_Institution :
LORIA - Projet Magrit, Univ. de Lorraine, Vandoeuvre-les-Nancy, France
fYear :
2013
Firstpage :
1563
Lastpage :
1567
Abstract :
This article is motivated by a problem from experimental solid mechanics. The grid method permits to estimate in-plane displacement and strain components in a deformed material. A regular grid is deposited on the surface of the material, and images are taken before and after deformation. Windowed Fourier analysis then gives an estimate of the surface displacement and strain components. We show that the estimates obtained by this technique are approximately the convolution of the actual values with the analysis window. We also characterize how the noise in the grid image impairs the displacement and strain maps. Finally, the metrological performance of the grid method is enhanced with deconvolution algorithms. This work is potentially of interest in optical interferometry, since grids are particular fringe patterns.
Keywords :
Fourier analysis; convolution; deconvolution; deformation; image processing; mechanical engineering computing; strain measurement; analysis window; convolution; deconvolution algorithm; deformed material; experimental solid mechanics; fringe patterns; grid image impairs; grid method; in-plane strain measurement; metrological performance; optical interferometry; regular grid; strain components; strain maps; surface displacement estimation; windowed Fourier analysis; Deconvolution; Estimation; Fourier transforms; Noise; Solids; Strain; Surface treatment; Experimental mechanics; correlated noise; deconvolution; grid method; windowed Fourier analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6637914
Filename :
6637914
Link To Document :
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