Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/49008

TitleVersatile three-dimensional denoising and segmentation method of X-ray tomographic images: applications to geomaterials characterizations
Author(s)Rozenbaum, Olivier
Bergounioux, Maitine
Maurício, António
Figueiredo, Carlos
Alves, C.
Barbanson, Luc
KeywordsSecond order total variation
Variational method
Denoising
Image analysis
Crack network
Mineralogical phases distributions
Issue dateNov-2016
PublisherCentre pour la Communication Scientifique Directe (CCSD)
CitationRozenbaum, O., Bergounioux, M., Maurício, A., Figueiredo, C., Alves, C., & Barbanson, L. (2016). Versatile three-dimensional denoising and segmentation method of X-ray tomographic images: applications to geomaterials characterizations.
Abstract(s)For most issues encountered in materials sciences and in geosciences, X-ray microtomography is an efficient technique to obtain morphological, structural, and topological information on complex multiphasic materials. However the seg-mentation of three-dimensional images of these materials is rarely straightforward. For instance, the segmentation processes that are used are strongly dependant on the quality of the images, the samples and the objects or phases of interest to extract. In this study a variational method which is a versatile technique enabling to segment a lot of three-dimensional images of geomaterials has been developed. This technique is illustrated with two case studies belonging to two distinct fields of research in earth sciences. In one case the crack network of a weathered granite sample is considered, while, in the other, the distributions of the mineralogical phases on an ore sample are investigated
TypeWorking paper
DescriptionPré-publication, Document de travail
URIhttps://hdl.handle.net/1822/49008
Publisher versionhttps://hal.archives-ouvertes.fr/hal-01255507/
Peer-Reviewedno
AccessRestricted access (UMinho)
Appears in Collections:Lab2PT - Artigos
Lab2PT - Artigos

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