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

机译:使用射线照相图像和灰度共生矩阵研究重力颗粒流

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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.
机译:本文介绍了基于放射线图像处理的颗粒重力流分析。对具有同心/偏心卸料模式的筒仓模型几何进行了研究。借助特别设计的带有矩形料仓和不同料斗角度设置的模型筒仓,可以获得在流动过程中获得的颗粒状物料分布的连续X射线射线照相扫描。图像处理涉及纹理分析方法,即灰度共生矩阵(GLCM)。射线照相图像的纹理分析可提供有关在料仓排放过程中不同料仓区域中颗粒孔隙度变化的信息。该技术允许将筒仓空间划分为具有相似孔隙率水平的多个同质区域。所提出的方法被用于分析不同料斗角度的筒仓模型中的流量。

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