| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Sheppard, Adrian
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2019Topological Persistence for Relating Microstructure and Capillary Fluid Trapping in Sandstonescitations
- 2018Digital core laboratory
- 2015Tomographic image analysis and processing to simulate micro-petrophysical experiments
- 2014The effects of manufacturing parameters on geometrical and mechanical properties of copper foams produced by space holder techniquecitations
- 2013Effect of fluid topology on residual nonwetting phase trappingcitations
- 2010Tomographic image analysis and processing to simulate micro-petrophysical experimentscitations
- 2009Imaging of metallic foams using X-ray micro-CTcitations
- 2008Automated registration for augmenting micro-CT 3D images
- 2008Liquid distribution and cohesion in wet granular assemblies beyond the capillary bridge regimecitations
- 2008A comparison of pore structure analysis by NMR and Xray-CT techniques
- 2006Elastic and transport properties of cellular solids derived from three-dimensional tomographic imagescitations
- 2005Volume conservation of the intermediate phase in three-phase pore-network modelscitations
- 2004Polymeric foam properties derived from 3D imagescitations
Places of action
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article
Automated registration for augmenting micro-CT 3D images
Abstract
Micro-CT imaging allows probing of material 3D structure down to the micrometre scale. However, often there exists structure at the sub-micrometre scale which significantly influences the macro-physical properties of the material. One possible solution for mitigating this micro-CT resolution limitation is to incorporate information from higher resolution Back-scattered Scanning Electron Microscopy (BSEM) imaging techniques. A first step toward incorporating this high resolution data into micro-CT models is to align the BSEM 2D image(s) with the corresponding region(s) of the micro-CT 3D image. This article presents an automated multi-start multi-resolution parallel registration algorithm which has been successfully used to achieve accurate alignment of BSEM and micro-CT image pairs. References William H. Press, Brian P. Flannery, Saul A. Teukolsky, and William T. Vetterling. Numerical Recipes in {C}: The Art of Scientific Computing. Cambridge University Press, 2nd edition, October 1992. http://www.nrbook.com/a/bookcpdf.php B. Zitova and J. Flusser. Image registration methods: a survey. Image and Vision Computing, 21:977--1000, 2003. doi:{10.1016/S0262-8856(03)00137-9} L. G. Brown. A survey of image registration techniques. ACM Computing Surveys, 24:325--376, 1992. http://portal.acm.org/citation.cfm?id=146370.146374 Mark Jenkinson and Stephen Smith. A global optimisation method for robust affine registration of brain images. Medical Image Analysis, 5:143--156, June 2001. doi:{10.1016/S1361-8415(01)00036-6} C. D. Kuglin and D. C. Hines. The phase correlation image alignment method. In Proc. Int. Conf. on Cybernetics and Society, volume 4, pages 163--165, 1975. G.S. Padhy, C. Lemaire, E.S. Amirtharaj, and M.A. Ioannidis. Pore size distribution in multiscale porous media as revealed by {DDIF-NMR}, mercury porosimetry and statistical image analysis. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 300:222--234, June 2007. doi:{10.1016/j.colsurfa.2006.12.039}