Digital Image Reduction for Analysis of Topological Changes in Pore Space During Chemical Dissolution Full article
| Journal |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
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| Output data | Year: 2021, Pages: 382-393 Pages count : 12 DOI: 10.1007/978-3-030-77961-0_32 | ||
| Tags | Chemical dissolution; Digital image reduction; Persistence homology | ||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Russian Science Foundation | 21-71-20003 |
Abstract:
The paper presents an original algorithm for reducing three- dimensional digital images to improve persistence diagrams computing performance. These diagrams represent topology changes in digital rocks pore space. The algorithm has linear complexity because removing the voxel is based on the structure of its neighborhood. We illustrate that the algorithm’s efficiency depends heavily on the pore space’s complexity and the size of the filtration steps.
Cite:
Prokhorov D.
, Lisitsa V.
, Bazaikin Y.
Digital Image Reduction for Analysis of Topological Changes in Pore Space During Chemical Dissolution
Lecture Notes in Computer Science. 2021. P.382-393. DOI: 10.1007/978-3-030-77961-0_32 Scopus OpenAlex
Digital Image Reduction for Analysis of Topological Changes in Pore Space During Chemical Dissolution
Lecture Notes in Computer Science. 2021. P.382-393. DOI: 10.1007/978-3-030-77961-0_32 Scopus OpenAlex
Identifiers:
| Scopus: | 2-s2.0-85111402406 |
| OpenAlex: | W3168610088 |