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

Journal of Microscopy

Volumn 239, Issue 1, 2010, Pages 17-31

  Faessel, M ^a   Jeulin, D ^a  

^a PSL RESEARCH UNIVERSITY   (France)

Author keywords

3D images segmentation; Boolean model; Granular material; Mathematical morphology; Micro tomography; Stochastic watershed

Indexed keywords

GRANULAR MATERIALS; IMAGE SEGMENTATION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TOMOGRAPHY; WATERSHEDS;

3-D IMAGE; 3D IMAGE SEGMENTATION; 3D-IMAGES; BOOLEAN MODELING; CONDITION; MICRO-TOMOGRAPHY; MICROTOMOGRAPHIC IMAGES; RELIABLE METHODS; STOCHASTIC WATERSHED; STOCHASTICS;

MATHEMATICAL MORPHOLOGY;

ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; GRAIN; GRANULAR MATERIAL; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MATERIAL STATE; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROBABILITY; SIMULATION; STOCHASTIC WATERSHED; THREE DIMENSIONAL IMAGING; TOMOGRAPHY;

EID: 77953840872     PISSN: 00222720     EISSN: 13652818     Source Type: Journal    
DOI: 10.1111/j.1365-2818.2009.03349.x     Document Type: Article

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