Rendering Deformed Speckle Images with a Boolean Model

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 : Rendering speckle images affected by a given deformation field is of primary importance to assess the metrological performance of displacement measurement methods used in experimental mechanics and based on digital image correlation (DIC). This article describes how to render deformed speckle images with a classic model of stochastic geometry, the Boolean model. The advantage of the proposed approach is that it does not depend on any interpolation scheme likely to bias the assessment process, and that it allows the user to render speckle images deformed with any deformation field given by an analytic formula. The proposed algorithm mimics the imaging chain of a digital camera, and its parameters are carefully discussed. A MATLAB software implementation and synthetic ground-truth datasets for assessing DIC software programs are publicly available.
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Soumis le : vendredi 15 décembre 2017 - 14:11:42
Dernière modification le : mercredi 30 mai 2018 - 16:30:06

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Frédéric Sur, Benoît Blaysat, Michel Grediac. Rendering Deformed Speckle Images with a Boolean Model. Journal of Mathematical Imaging and Vision, Springer Verlag, 2018, 60 (5), pp.634-650. 〈https://link.springer.com/article/10.1007/s10851-017-0779-4〉. 〈10.1007/s10851-017-0779-4〉. 〈hal-01664997〉

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