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中文摘要：
研究基于图像分析的矿石颗粒堆积体孔隙结构三维量化表征的方法和过程。利用X线CT技术分别获取由1～2、2～3、3～4、4～5、5～6、6～7、7～8、8～9、9～10mm的矿石颗粒构成的单粒径堆积体的断层图像，基于Matlab自行开发了三维重构及图像分析程序，计算并分析体孔隙率、孔隙尺寸分布以及孔隙连通度3个参数。结果表明，颗粒堆积体的体孔隙率、平均孔隙尺寸和有效孔隙尺寸（d50）随着颗粒粒径的增大而增加，孔隙尺寸服从对数正态分布或正态分布，基于聚类标记算法得到的孔隙连通度也大致随着颗粒粒径的增大而增加。
英文摘要：
Methods and procedures of three-dimensional （3D） characterization of the pore structure features in the packed ore particle bed are focused. X-ray computed tomography was applied to deriving the cross-sectional images of specimens with single particle size of 1-2, 2-3, 3-4, 4-5, 5-6, 6-7, 7-8, 8-9, 9-10 ram. Based on the in-house developed 3D image analysis programs using Matlab, the volume porosity, pore size distribution and degree of connectivity were calculated and analyzed in detail. The results indicate that the volume porosity, the mean diameter of pores and the effective pore size （d50） increase with the increasing of particle size. Lognormal distribution or Gauss distribution is mostly suitable to model the pore size distribution. The degree of connectivity investigated on the basis of cluster-labeling algorithm also increases with increasing the particle size approximately.
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