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Article Dans Une Revue Journal of Microscopy Année : 2010

Segmentation of 3D microtomographic images of granular materials with the stochastic watershed

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Matthieu Faessel
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Dominique Jeulin

Résumé

Segmentation of 3D images of granular materials obtained by microtomography is not an easy task. Because of the conditions of acquisition and the nature of the media, the available images are not exploitable without a reliable method of extraction of the grains. The high connectivity in the medium, the disparity of the object's shape and the presence of image imperfections make classical segmentation methods (using image gradient and watershed constrained by markers) extremely difficult to perform efficiently. In this paper, we propose a non-parametric method using the stochastic watershed, allowing to estimate a 3D probability map of contours. Procedures allowing to extract final segmentation from this function are then presented.
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Dates et versions

hal-00837012 , version 1 (21-06-2013)

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Matthieu Faessel, Dominique Jeulin. Segmentation of 3D microtomographic images of granular materials with the stochastic watershed. Journal of Microscopy, 2010, 239 (1), pp.17-31. ⟨10.1111/j.1365-2818.2009.03349.x⟩. ⟨hal-00837012⟩
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