MATEC Web Conf.
Volume 219, 20182nd Baltic Conference for Students and Young Researchers (BalCon 2018)
|Number of page(s)||8|
|Published online||29 October 2018|
Use of radiography images and gray level co-occurrence matrix to investigate gravitational granular flow
Lodz University of Technology, Institute of Applied Computer Science,
ul. Żeromskiego 116,
2 Gdańsk University of Technology, Faculty of Civil and Environmental Engineering, ul. Narutowcza 11/12, 80-233 Gdansk, Poland
Corresponding author: firstname.lastname@example.org
The paper presents analysis of granular gravitational flow based on radiography images processing. The investigations were conducted for silo model geometry with concentric/eccentric discharging modes. The continuous X-ray radiography scans of granular material distribution, acquired during flow, were obtained by means of an especially designed model silo with rectangular bin and different settings of hopper angles. Image processing involved texture analysis methods, the Gray-Level Co-Occurrence Matrix (GLCM). The texture analysis of radiography images provides information about changes of granular porosity in different silo zones during silo discharging process. This technique allows to divide the silo space into a number homogenous regions with similar porosity level. The proposed methodology was applied to analyse the flow in silo model with various hopper angles.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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