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International Conference on Computational Science

ICCS 2021: Computational Science – ICCS 2021 pp 382–393Cite as

Digital Image Reduction for Analysis of Topological Changes in Pore Space During Chemical Dissolution

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12742))

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.

The research is supported by the Russian Science Foundation grant no. 21-71-20003. Numerical simulations were performed using “Polytechnic RSC Tornado” (SPBSTU, Russia).

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Author information

Authors and Affiliations

  1. Sobolev Institute of Mathematics SB RAS, 4 Koptug Avenue, Novosibirsk, 630090, Russia

    Dmitriy Prokhorov, Vadim Lisitsa & Yaroslav Bazaikin

Authors
  1. Dmitriy Prokhorov
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  2. Vadim Lisitsa
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  3. Yaroslav Bazaikin
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Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Dieter Kranzlmüller

  3. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  4. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  5. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

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Prokhorov, D., Lisitsa, V., Bazaikin, Y. (2021). Digital Image Reduction for Analysis of Topological Changes in Pore Space During Chemical Dissolution. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12742. Springer, Cham. https://doi.org/10.1007/978-3-030-77961-0_32

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  • DOI: https://doi.org/10.1007/978-3-030-77961-0_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77960-3

  • Online ISBN: 978-3-030-77961-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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