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Curvature-Driven Volumetric Segmentation of Binary Shapes: an Application to Snow Microstructure Analysis

Abstract : Many three-dimensional (3-D) image-based studies concerning granular and sintered materials require a description of the observed microstructures in terms of individual grains. We propose a robust segmentation algorithm which identify groove regions on the object’s surface in order to locate possible grain boundaries in the object’s volume. The algorithm relies on the vol- umetric propagation via Voronoi labeling of curvature information from the surface into the object1.
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https://hal.archives-ouvertes.fr/hal-01353027
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Wednesday, August 10, 2016 - 4:19:33 PM
Last modification on : Monday, April 5, 2021 - 2:26:11 PM

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  • HAL Id : hal-01353027, version 1

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Xi Wang, Luc Gillibert, F. Flin, David Coeurjolly. Curvature-Driven Volumetric Segmentation of Binary Shapes: an Application to Snow Microstructure Analysis. International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. pp.742-745. ⟨hal-01353027⟩

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