@inproceedings{f1ad2267b79e45be8c784a836bd7cfa6,
title = "To refinement of the estimation of the electrical conductivity of filled polymers from texture pattern of the macrostructure image",
abstract = "An approach to the estimation of the electrical conductivity of filled polymers based on a complex of texture parameters of the macrostructure image is suggested using image transformation into a binary form based on models of color space analysis. Suitability of the suggested complex of texture parameters for estimation of filled polymer properties has been experimentally proved. Possibility of individual matching of the texture parameters to a specific electrophysical characteristic for prognostic estimation is shown. Texture parameters that change monotonously along with the increase of filler concentration are revealed. It is found out that the {"}contrast{"} parameter is the most sensitive to changes of filler concentration. The characteristics of the texture pattern close in values to the electrophysical characteristics considered in the paper are revealed.",
author = "Minakova, {N. N.} and Ushakov, {V. Ya}",
year = "2019",
month = "11",
day = "19",
doi = "10.1063/1.5132092",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Panin, {Victor E.} and Psakhie, {Sergey G.} and Fomin, {Vasily M.}",
booktitle = "Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019",
note = "International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019 ; Conference date: 01-10-2019 Through 05-10-2019",
}