Digital Flow for Shape Decomposition: Application to 3-D Microtomographic Images of Snow

Xi Wang 1 David Coeurjolly 1 Frédéric Flin 2
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 CEN - Centre d'Etudes de la Neige
CNRM - Centre national de recherches météorologiques
Abstract : We propose a fast shape decomposition method for granular microstructures using a 3-D approach based on medial axis. We define a two-step algorithm: the first step relies on a notion of digital flow to obtain a preliminary over-de- composition from medial balls. During a second step, we use geometric criteria to obtain a relevant and precise volumetric decomposition. We apply our al- gorithm to 3-D objects of materials and, more precisely, to microtomographic images of snow microstructures.
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01080347
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Submitted on : Wednesday, November 5, 2014 - 9:35:25 AM
Last modification on : Thursday, November 1, 2018 - 1:22:16 AM

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  • HAL Id : hal-01080347, version 1

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Xi Wang, David Coeurjolly, Frédéric Flin. Digital Flow for Shape Decomposition: Application to 3-D Microtomographic Images of Snow. Pattern Recognition Letters, Elsevier, 2014, 45 (1), pp.181-188. ⟨hal-01080347⟩

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