Otsu’s Algorithm in the Segmentation of Pore Space in Soils Based on Tomographic Data
Author:
Publisher
Pleiades Publishing Ltd
Subject
Earth-Surface Processes,Soil Science
Link
https://link.springer.com/content/pdf/10.1134/S1064229321040037.pdf
Reference39 articles.
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3. K. M. Gerke, T. O. Sizonenko, M. V. Karsanina, E. V. Lavrukhin, V. V. Abashkin, and D. V. Korost, “Improving watershed-based pore-network extraction method using maximum inscribed ball pore-body positioning,” Adv. Water Res. 140, 103576 (2020). https://doi.org/10.1016/j.advwatres.2020.103576
4. K. M. Gerke, R. V. Vasilyev, S. Khirevich, D. Collins, M. V. Karsanina, T. O. Sizonenko, D. V. Korost, S. Lamontagne, and D. Mallants, “Finite-difference method Stokes solver (FDMSS) for 3D pore geometries: software development, validation and case studies,” Comput. Geosci. 114, 41–58 (2018). https://doi.org/10.1016/j.cageo.2018.01.005
5. K. M. Gerke, M. V. Karsanina, and D. Mallants, “Universal stochastic multiscale image fusion: an example application for shale rock,” Sci. Rep. 5, 15880 (2015). https://doi.org/10.1038/srep33086
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