TORTUOSIMETRIC OPERATOR FOR COMPLEX POROUS MEDIA CHARACTERIZATION
| Autor: | Jean-Marie Becker, Thierry Fournel, Loïc Sorbier, Maxime Moreaud, Johan Chaniot |
|---|---|
| Přispěvatelé: | IFP Energies nouvelles (IFPEN), Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Centre de Morphologie Mathématique (CMM), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Acoustics and Ultrasonics
Computer science Materials Science (miscellaneous) General Mathematics Structure (category theory) multi-scale porous networks 02 engineering and technology geodesic distance transform Topology Tortuosity [SPI]Engineering Sciences [physics] Operator (computer programming) Histogram 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] Radiology Nuclear Medicine and imaging [MATH]Mathematics [math] Instrumentation Monte Carlo algorithms lcsh:R5-920 lcsh:Mathematics Scalar (physics) 020207 software engineering 04 agricultural and veterinary sciences Physics::Classical Physics lcsh:QA1-939 Characterization (materials science) geometric tortuosity Signal Processing Scalability 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Computer Vision and Pattern Recognition Porous medium lcsh:Medicine (General) Biotechnology |
| Zdroj: | Image Analysis and Stereology, Vol 38, Iss 1, Pp 25-41 (2019) Image Analysis and Stereology Image Analysis and Stereology, International Society for Stereology, 2019, 38 (1), pp.25-41. ⟨10.5566/ias.2039⟩ |
| ISSN: | 1854-5165 1580-3139 |
| Popis: | International audience; Geometric tortuosity is one of the foremost topological characteristics of porous media. Despite the various definitions in the literature, to our knowledge, they are all linked to an arbitrary propagation direction. This paper proposes a novel topological descriptor, named M-tortuosity, by giving a more straightforward definition, describing the data regardless of physicochemical processes. M-tortuosity, based on the concept of geometric tortuosity, is a scalable descriptor, meaning that information of several dimensions (scalar, histograms, 3D maps) is available. It is applicable on complex disconnected structures without any arbitrary definition of entry and exit. Topological information can be represented by aggregation into a unique scalar descriptor for classification purposes. It is extended by iterative erosions to take into account porous structure narrowness, especially bottleneck effects. This new descriptor, called M-tortuosity-by-iterative-erosions, describes tortuosity of the porous part as seen by a spherical particle of given size walking along the network. Boolean models are used to simulate different porous media structures in order to test the proposed characterization. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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