Use of radiography images and gray level co-occurrence matrix to investigate gravitational granular flow

Selam Waktola; Krzysztof Grudzień; Maciej Niedostatkiewicz; Laurent Babout

doi:10.1051/matecconf/201821903014

Use of radiography images and gray level co-occurrence matrix to investigate gravitational granular flow

Abstract

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

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Authors (4)

Selam Waktola
- Politechnika Łódzka Instytut Informatyki Stosowanej
Krzysztof Grudzień
- Politechnika Łódzka Instytut Informatyki Stosowanej
Maciej Niedostatkiewicz dr hab. inż.
Laurent Babout
- Politechnika Łódzka Instytut Informatyki Stosowanej

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DOI:: Digital Object Identifier (open in new tab) 10.1051/matecconf/201821903014
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Keywords

GRANULAR FLOW

Details

Category:: Articles
Type:: publikacja w in. zagranicznym czasopiśmie naukowym (tylko język obcy)
Published in:: MATEC Web of Conferences no. 219, pages 03014 - 03022,
ISSN: 2261-236X
Language:: English
Publication year:: 2018
Bibliographic description:: Waktola S., Grudzień K., Niedostatkiewicz M., Babout L.. Use of radiography images and gray level co-occurrence matrix to investigate gravitational granular flow. MATEC Web of Conferences, 2018, Vol. 219, , s.03014-03022
DOI:: Digital Object Identifier (open in new tab) 10.1051/matecconf/201821903014
Verified by:: Gdańsk University of Technology