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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019 |
| Editors | Victor E. Panin, Sergey G. Psakhie, Vasily M. Fomin |
| Publisher | American Institute of Physics Inc. |
| ISBN (Electronic) | 9780735419124 |
| DOIs | |
| Publication status | Published - 19 Nov 2019 |
| Event | International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019 - Tomsk, Russian Federation Duration: 1 Oct 2019 → 5 Oct 2019 |
Publication series
| Name | AIP Conference Proceedings |
|---|---|
| Volume | 2167 |
| ISSN (Print) | 0094-243X |
| ISSN (Electronic) | 1551-7616 |
Conference
| Conference | International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019 |
|---|---|
| Country | Russian Federation |
| City | Tomsk |
| Period | 1.10.19 → 5.10.19 |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
To refinement of the estimation of the electrical conductivity of filled polymers from texture pattern of the macrostructure image. / Minakova, N. N.; Ushakov, V. Ya.
Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019. ed. / Victor E. Panin; Sergey G. Psakhie; Vasily M. Fomin. American Institute of Physics Inc., 2019. 020225 (AIP Conference Proceedings; Vol. 2167).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - To refinement of the estimation of the electrical conductivity of filled polymers from texture pattern of the macrostructure image
AU - Minakova, N. N.
AU - Ushakov, V. Ya
PY - 2019/11/19
Y1 - 2019/11/19
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85075783885&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075783885&partnerID=8YFLogxK
U2 - 10.1063/1.5132092
DO - 10.1063/1.5132092
M3 - Conference contribution
AN - SCOPUS:85075783885
T3 - AIP Conference Proceedings
BT - Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019
A2 - Panin, Victor E.
A2 - Psakhie, Sergey G.
A2 - Fomin, Vasily M.
PB - American Institute of Physics Inc.
ER -