1. A SIMPLE METHODOLOGY TO SEGMENT X-RAY TOMOGRAPHIC IMAGES OF A MULTIPHASIC BUILDING STONE
- Author
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Jean-Louis Rouet, Ary Bruand, Emmanuel Le Trong, Olivier Rozenbaum, Institut des Sciences de la Terre d'Orléans (ISTO), Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Part of this study was conducted within the Région Centre/SOLEIL project funded bu the Région Centre the granted one of us., and POTHIER, Nathalie
- Subjects
alternate sequential filter ,Acoustics and Ultrasonics ,[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] ,Structuring element ,Computer science ,X-ray Tomography ,[SDE.MCG]Environmental Sciences/Global Changes ,Materials Science (miscellaneous) ,General Mathematics ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,02 engineering and technology ,Mathematical morphology ,Operator (computer programming) ,Simple (abstract algebra) ,0202 electrical engineering, electronic engineering, information engineering ,mathematical morphology ,Radiology, Nuclear Medicine and imaging ,Segmentation ,Computer vision ,Instrumentation ,watershed ,lcsh:R5-920 ,business.industry ,lcsh:Mathematics ,segmentation ,Process (computing) ,lcsh:QA1-939 ,021001 nanoscience & nanotechnology ,[SDE.MCG] Environmental Sciences/Global Changes ,Identification (information) ,Signal Processing ,[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] ,020201 artificial intelligence & image processing ,Computer Vision and Pattern Recognition ,Noise (video) ,Artificial intelligence ,building stone ,lcsh:Medicine (General) ,0210 nano-technology ,business ,X-ray tomography ,Biotechnology - Abstract
International audience; Assessment of the weathering of a particular limestone, the tuffeau, used in historical monuments requires an accurate description of its microstructure. An efficient tools to obtain such a description is X-ray microtomography. However the segmentation of the images of this multiphasic material is not trivial. As the identification of pertinent markers of the structural components to extract is difficult, a two steps filtering approach is chosen. Alternate sequential filters are shown to efficiently remove the noise but, as they destroy the structural components smaller than the structuring element used, they cannot be carried out far enough. Hence as a second step in the filtering process, a mosaic operator, relying on a pragmatic yet efficient marker determination, is implemented to simplify further the images.
- Published
- 2011
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