International Snow Science Workshop Proceedings - Montana State University Library

Item: Digital Flow for Grain Segmentation from 3D Microtomographic Images of Snow

• • Title: Digital Flow for Grain Segmentation from 3D Microtomographic Images of Snow

    Proceedings: International Snow Science Workshop Grenoble – Chamonix Mont-Blanc - October 07-11, 2013

    Authors:

    • Xi Wang  [ Météo-France, CNRS CNRM GAME UMR 3589 / CEN, Grenoble, France ]  [ Université de Lyon, CNRS INSA-Lyon, LIRIS, UMR 5205, Lyon, France ]
    • Frédéric Flin  [ Météo-France, CNRS CNRM GAME UMR 3589 / CEN, Grenoble, France ]
    • David Coeurjolly  [ Université de Lyon, CNRS INSA-Lyon, LIRIS, UMR 5205, Lyon, France ]
    • Bernard Lesaffre  [ Météo-France, CNRS CNRM GAME UMR 3589 / CEN, Grenoble, France ]

    Date: 2013-10-07

    Abstract: We propose in this article a shape segmentation method for granular structures in 3D based on medial axis. We define a two-step algorithm: the first step rely on a notion of digital flow to obtain a first over-segmentation from medial balls. During a second step, we apply a geometric criterion to obtain a relevant and precise volumetric segmentation. We apply our algorithm to 3D microtomographic images of snow grain samples. This method allows a precisely grain segmentation in various snow types.

    Object ID: ISSW13_paper_P4-19.pdf

    Language of Article: English

    Presenter(s): Unknown

    Keywords: medial axis, digital flow, snow grain segmentation

    Page Number(s): 083-086

    Subjects: grain type classification (1 Articles) microstructure snow grain

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