Determination of the porous structure parameters from experimental images for the porous phantoms generation algorithm

A. Khafizov; M. Grigoriev; A. Buzmakov

doi:10.1117/12.2622644

4 March 2022 Determination of the porous structure parameters from experimental images for the porous phantoms generation algorithm

A. Khafizov, M. Grigoriev, A. Buzmakov

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Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021); 120840M (2022) https://doi.org/10.1117/12.2622644
Event: Fourteenth International Conference on Machine Vision (ICMV 2021), 2021, Rome, Italy

Abstract

A technique for determining the parameter values from experimental images for the porous structures generator for synthesizing porous phantoms is presented. The algorithms for fast determination of porosity and the standard deviation of the Gaussian filter used as input parameters of the phantom generator are considered. The phantoms generated according to the found parameters have geometric characteristics similar to the original images, which makes it possible to use such phantoms both for studying and modeling processes in porous media and as basic structures for creating training samples for segmentation algorithms of experimental images using machine learning methods..

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A. Khafizov, M. Grigoriev, and A. Buzmakov "Determination of the porous structure parameters from experimental images for the porous phantoms generation algorithm", Proc. SPIE 12084, Fourteenth International Conference on Machine Vision (ICMV 2021), 120840M (4 March 2022); https://doi.org/10.1117/12.2622644

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KEYWORDS

Image segmentation

Wavelets

Computed tomography

Gaussian filters

Image processing

Continuous wavelet transforms

Tomography

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