Speckle Image Rendering for DIC Performance Assessment

Frédéric Sur 1 Benoît Blaysat 2 Michel Grediac 2
1 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : Assessing the metrological performance of the methods available for displacement field measurement is of primary importance in experimental mechanics. It often relies on synthetically rendered images of a specimen before and after deformation. In this context, the only varying quantity should be the displacement field in order to prevent any other phenomenon to bias the estimation of the metrological performance. Concerning digital image correlation (DIC), images of a random speckle pattern are needed. We propose a new algorithm to render such images with a classic model of stochastic geometry, namely the Boolean model.
Type de document :
Communication dans un congrès
Luciano Lamberti; Ming-Tzer Lin; Cosme Furlong; Cesar Sciammarella; Phillip L. Reu; Michael A Sutton. SEM Annual Conference & Exposition on Experimental and Applied Mechanics, Jun 2018, Greenville, United States. Springer, Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, 3, pp.75-77, 2018, 〈https://link.springer.com/chapter/10.1007/978-3-319-97481-1_8〉. 〈10.1007/978-3-319-97481-1_8〉
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https://hal.archives-ouvertes.fr/hal-01896811
Contributeur : Frédéric Sur <>
Soumis le : mardi 16 octobre 2018 - 14:57:16
Dernière modification le : mardi 18 décembre 2018 - 16:18:26

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Frédéric Sur, Benoît Blaysat, Michel Grediac. Speckle Image Rendering for DIC Performance Assessment. Luciano Lamberti; Ming-Tzer Lin; Cosme Furlong; Cesar Sciammarella; Phillip L. Reu; Michael A Sutton. SEM Annual Conference & Exposition on Experimental and Applied Mechanics, Jun 2018, Greenville, United States. Springer, Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, 3, pp.75-77, 2018, 〈https://link.springer.com/chapter/10.1007/978-3-319-97481-1_8〉. 〈10.1007/978-3-319-97481-1_8〉. 〈hal-01896811〉

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