Яндекс.Метрика

D. Prokhorov, V. Lisitsa, Y. Bazaikin

Том: 21st International Conference on Computational Science, ICCS 2021. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Krakow, Poland, June 16-18, 2021)
Том: 12742 LNCS , Год издания: 2021
Многотомное издание: 21st International Conference on Computational Science, ICCS 2021. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Krakow, Poland, June 16-18, 2021)
Издатель: Springer International Publishing , Место издания: Berlin
Страницы: 382-393

Аннотация

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 algorithms efficiency depends heavily on the pore spaces complexity and the size of the filtration steps.
индекс в базе ИАЦ: 036095