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、9~10 mm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。 The method and process of three-dimensional quantitative characterization of pore structure of ores in granulite based on image analysis are studied. X-ray computed tomography (CT) techniques were used to obtain single Based on Matlab, a three-dimensional reconstruction and image analysis program was developed. The three parameters of volume porosity, pore size distribution and pore connectivity were calculated and analyzed. The results showed that the bulk porosity, average pore size and effective pore size (d50) increased with the increase of particle size, and the pore size obeyed logarithmic normal distribution or normal distribution. Based on clustering algorithm The resulting porosity connectivity also increases with increasing particle size.