Digital twins and image analysis for the geometrical characterization of particle populations

Johan Debayle

Conference Papers Year : 2020

Digital twins and image analysis for the geometrical characterization of particle populations

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Johan Debayle

Function : Correspondent author
PersonId : 175986
IdHAL : johan-debayle
ORCID : 0000-0002-9593-0467
IdRef : 095250441

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Département Procédés de Mise en oeuvre des Milieux Granulaires

Laboratoire Georges Friedel

CV

Keywords

stochastic geometry multiphase flows image analysis morphometrical charcaterization

Domains

Chemical and Process Engineering Computer Vision and Pattern Recognition [cs.CV] Modeling and Simulation

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https://hal-emse.ccsd.cnrs.fr/emse-03102625

Submitted on : Thursday, January 7, 2021-4:08:56 PM

Last modification on : Tuesday, September 17, 2024-3:45:47 PM

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emse-03102625 , version 1 (07-01-2021)

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HAL Id : emse-03102625 , version 1

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Johan Debayle. Digital twins and image analysis for the geometrical characterization of particle populations. GDR MORPHEA Scientific Days /Journées GDR MORPHEA, Oct 2020, Aubervilliers, France. ⟨emse-03102625⟩

Digital twins and image analysis for the geometrical characterization of particle populations

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