| Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 8 | |
| Section | Materials Science Innovations, Green Chemistry and Emission Reduction | |
| DOI | https://doi.org/10.1051/e3sconf/202338901016 | |
| Published online | 31 May 2023 | |
Method for clarifying the boundaries of inhomogeneity on a dynamic image for EIT
1 Platov South-Russian State Polytechnic University (NPI), 132, str. Enlightenment, 346428, Novocherkassk, Rostov region, Russia
2 Le Quy Don Technical University, 463 Hoàng Quốc Việt, P, 129810, Nam Từ Liêm, Hà Nội, Viet Nam
* Corresponding author: mari.mak787@yandex.ru
This article proposes an algorithmic solution to refine the boundaries of heterogeneity in a dynamic image for EIT. The essence of the method is to calculate the rate of change of the color value of each pixel p(i,j) Gn for a given research area. Next, the received data array is processed and the initial image of the heterogeneity region Gn is scaled. Software has been developed that implements the proposed algorithmic solutions. The method of automatic control of the parameters of the EIT examination is implemented, which consists in the automatic mode of operation without operator intervention from the moment of setting the parameters of the examination to the receipt of the final result. The operation of the method for refining the boundaries of inhomogeneity has been tested on computer models. According to the results of the study, the error in determining γ was reduced by 1.44 times. Thus, it seems possible to reduce it when transmitting and digitizing measurement data.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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