Versatile three-dimensional denoising and segmentation method of X-ray tomographic images: applications to geomaterials characterizations

For most issues encountered in materials sciences and in geosciences, Xray microtomography is an efficient technique to obtain morphological, structural, and topological information on complex multiphasic materials. However the segmentation 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. Olivier Rozenbaum and Luc Barbanson ISTO, Université d’Orléans, CNRS, BRGM, 1A rue de la Ferollerie, 45100, Orléans cedex 2, France E-mail: Rozenbaum@cnrs-orleans.fr and luc.barbanson@univ-orleans.fr Maı̈tine Bergounioux Université d’Orléans, Math., Labo. MAPMO, UMR 7349, Federation Denis Poisson, BP 6759, 45067 Orléans cedex 2 E-mail: Maitine.Bergounioux@univ-orleans.fr António Maurı́cio and Carlos Figueiredo Centro de Recursos Naturais e Ambiente (CERENA), Instituto Superior Técnico, Av. Rovisco Pais, 1049001 Lisboa, Portugal E-mail: pcd2045@ist.utl.pt and carlos.m.figueiredo@ist.utl.pt Carlos Alves Lab2PT, Landscape, Heritage and Territory Laboratory (Research unit of the Portuguese Fundação para a Ciência e a Tecnologia, UID/AUR/04509/2013) and School of Sciences, University of Minho, Braga, Portugal E-mail: casaix@dct.uminho.pt

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