The properties and applications of products made of porous structures depend on their morphology. Parameters such as
porosity, specific surface area of pores and others are traditionally used to descript them. The parameters can be
estimated using traditional hardware methods or using the results of computed tomography of the porous structure. The
image reconstructed by the tomographic method is presented in grayscale. To calculate the parameters of the studied
porous structure, the image must be binarized. Due to the wide range of the reconstructed image voxels intensity and the
presence of noise, the binarization process is not a trivial procedure. To reduce noise, the reconstructed images are
filtered before the binarization. Papers by other authors contain references to the use of filters of various types when
working with tomographic images of porous structures, but there is no justification for choosing a filter type. In this
paper, we propose an approach to choose the optimal type of filter, which is based on two estimates: image distortion
evaluation after the filtration step and the number of “levitating stones” (objects that do not connect to the
surrounding material) in the pores after the binarization step. An algorithm is developed for processing cases of
“levitating stones” remaining in the image. A new method for correcting images of porous structures contains
threestages: optimal filtering of the reconstructed image, threshold binarization, processing of cases with remaining
stones.
Key words:
Porous structure, segmentation, filters, computed tomography
DOI: 10.31857/S0235009220020067
Cite:
Kokhan V. V., Grigoriev M. V., Buzmakov A. V., Uvarov V. I., Ingacheva A. S., Chukalina M. V.
Metod korrektsii kt-izobrazhenii poristykh struktur dlya povysheniya kachestva binarizatsii
[Ct-images correction method for binarization quality improvement].
Sensornye sistemy [Sensory systems].
2020.
V. 34(2).
P. 147–155 (in Russian). doi: 10.31857/S0235009220020067
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