Tranter, TG;
Kok, MDR;
Lam, M;
Gostick, JT;
(2019)
pytrax: A simple and efficient random walk implementation for calculating the directional tortuosity of images.
SoftwareX
, 10
, Article 100277. 10.1016/j.softx.2019.100277.
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Abstract
Given the huge advances in tomographic imaging capability in recent years, image analysis has become a powerful means of measuring transport and structural properties of porous materials. One of the most important material characteristics is the tortuosity, which is difficult to measure experimentally. We present pytrax: (tortuosity from random axial movements) a simple and efficient random walk method implemented in python to calculate the average tortuosity and orthogonal directional tortuosity components of an image. The code works for both two and three-dimensional images and completes a statistically significant number of walks in parallel for large images in a few minutes using a standard desktop computer. By comparison, a Lattice Boltzmann or finite element simulation on similar sized images can take several hours.
Type: | Article |
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Title: | pytrax: A simple and efficient random walk implementation for calculating the directional tortuosity of images |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.softx.2019.100277 |
Publisher version: | https://doi.org/10.1016/j.softx.2019.100277 |
Language: | English |
Additional information: | Copyright © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Random walk, Directional tortuosity, Python, Image analysis |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
URI: | https://discovery.ucl.ac.uk/id/eprint/10087672 |




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