Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
A general approach to connected-component labeling for arbitrary image representations
Journal of the ACM (JACM)
Octrees for faster isosurface generation
ACM Transactions on Graphics (TOG)
A boundary approach for fast neighborhood operations on three-dimensional binary data
Graphical Models and Image Processing
Graphical Models and Image Processing
Multiresolution techniques for interactive texture-based volume visualization
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Topology-reducing surface simplification using a discrete solid representation
ACM Transactions on Graphics (TOG)
IEEE Transactions on Visualization and Computer Graphics
Evaluation of a lattice-Boltzmann method for mercury intrusion porosimetry simulations
Future Generation Computer Systems - Special issue: Computational science of lattice Boltzmann modelling
Efficient representation and extraction of 2-manifold isosurfaces using kd-trees
Graphical Models - Special issue on pacific graphics 2003
3D discrete skeleton generation by wave propagation on PR-octree for finite element mesh sizing
SM '04 Proceedings of the ninth ACM symposium on Solid modeling and applications
3D reconstruction and quantification of porous structures
Computers and Graphics
Bio-CAD modeling and its applications in computer-aided tissue engineering
Computer-Aided Design
Thinning algorithms based on quadtree and octree representations
Information Sciences: an International Journal
Lattice-Boltzmann studies of fluid flow in porous media with realistic rock geometries
Computers & Mathematics with Applications
Direct pore-level modeling of incompressible fluid flow in porous media
Journal of Computational Physics
Hi-index | 0.00 |
Analyzing the pore-size distribution of porous materials, made up of an aggregation of interconnected pores, is a demanding task. Mercury intrusion porosimetry (MIP) is a physical method that intrudes mercury into a sample at increasing pressures to obtain a pore-size histogram. This method has been simulated in-silice with several approaches requiring prior computation of a skeleton. We present a new approach to simulate MIP that does not require skeleton computation. Our method is an iterative process that considers the diameters corresponding to pressures. At each iteration, geometric tests detect throats for the corresponding diameter and a CCL process collects the region invaded by the mercury. Additionally, a new decomposition model called CUDB, is used. This is suitable for computing the throats and performs better with the CCL algorithm than a voxel model. Our approach obtains the pore-size distribution of the porous medium, and the corresponding pore graph.