0000000001082356

AUTHOR

Olivier Monga

showing 4 related works from this author

Approximation of Pore Space with Ellipsoids: A Comparison of a Geometrical Method with a Statistical one

2018

We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations. We compare this method …

EllipsoidsGeometry02 engineering and technologyImage segmentation010502 geochemistry & geophysicscomputer.software_genreCurve skeleton01 natural sciencesEllipsoidPhysics::GeophysicsSet (abstract data type)SegmentationDiffusion processVoxelSimple (abstract algebra)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSegmentationCluster analysisPore space approximationcomputer0105 earth and related environmental sciencesMathematics2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Modelling Complex Volume Shape Using Ellipsoid: Application to Pore Space Representation

2017

Natural shapes have complex volume forms that are usually difficult to model using simple analytical equations. The complexity of the representation is due to the heterogeneity of the physical environment and the variety of phenomena involved. In this study we consider the representation of the porous media. Thanks to the technological advances in Computed Topography scanners, the acquisition of images of complex shapes becomes possible. However, and unfortunately, the image data is not directly usable for simulation purposes. In this paper, we investigate the modeling of such shapes using a piece wise approximation of image data by ellipsoids. We propose to use a split-merge strategy and a…

010504 meteorology & atmospheric sciencesScale (ratio)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTangentApproximation algorithmContext (language use)02 engineering and technologyComputational geometry01 natural sciencesEllipsoid0202 electrical engineering electronic engineering information engineeringPiecewise020201 artificial intelligence & image processingRepresentation (mathematics)AlgorithmComputingMethodologies_COMPUTERGRAPHICS0105 earth and related environmental sciences2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Approximation of pore space with ellipsoids: a comparison of a geometrical method with a statistical one.

2018

International audience; We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations.…

curve skeletonsegmentationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO] Computer Science [cs][SPI.MAT] Engineering Sciences [physics]/Materials[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]GeneralLiterature_MISCELLANEOUSPhysics::Geophysics[SPI.MAT]Engineering Sciences [physics]/Materialsellipsoids[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO]Computer Science [cs]Pore space approximationComputingMethodologies_COMPUTERGRAPHICS
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Soilμ3d project: emergent properties of soil microbial functions from 3d modelling and spatial descriptors of pore scale heterogeneity

2021

International audience; The reduction of greenhouse gas emissions by improving the efficiency of agricultural systems through robust ecologically-based management practices represents the most important challenge facing agriculture. Models are needed to evaluate the effects of soil properties, climate, and agricultural management practices on soil carbon and on the nitrogen transformations responsible for GHG emissions. Models of Carbon and nitrogen cycles in soils need improvements so they can provide more accurate and robust predictions. They use empirical functions which account for the different environmental factors that affect microbial functions. However, these types of function have…

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDE.BE] Environmental Sciences/Biodiversity and Ecology[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[SDE.BE]Environmental Sciences/Biodiversity and Ecology[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
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