DocumentCode :
594818
Title :
Curvature-driven volumetric segmentation of binary shapes: An application to snow microstructure analysis
Author :
Wang, Xiongfei ; Gillibert, L. ; Flin, F. ; Coeurjolly, D.
Author_Institution :
CEN, Meteo-France, St. Martin d´Hères, France
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
742
Lastpage :
745
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 volumetric propagation via Voronoi labeling of curvature information from the surface into the object1.
Keywords :
computational geometry; crystal microstructure; granular materials; image segmentation; materials science computing; sintering; snow; 3D image-based studies; Voronoi curvature information labeling; binary shapes; curvature-driven volumetric segmentation; grain boundary localisation; granular materials; groove region identification; robust segmentation algorithm; sintered materials; snow microstructure analysis; three-dimensional image-based studies; volumetric propagation; Euclidean distance; Image segmentation; Labeling; Materials; Shape; Snow; Surface morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460241
Link To Document :
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