中文摘要：

基于图像处理软件PCAS研究了土体微观结构定量分析方法。通过阐释图像识别中阈值（T）、孔喉封闭半径（r）、最小孔隙面积（S0）以及统计参数的意义,提出了土体SEM图像处理时这些参数的选取方法。应用软件对6个粘土样品的SEM图像进行处理,采用不同r和S0,自动分析得到粘土的孔隙分布图,并得到孔隙系统的各类几何参数和统计参数,实现了对粘土微观孔隙系统的定量分析。结果表明：对于表观孔隙率较小且二值图像噪点较少的图像,采用较小的r和S0进行分析,得到的孔隙分布结果更能反映土体的微观结构;若土体表观孔隙率较大且二值图像中噪点较多,可以适当增大r和S0值进行分析。

英文摘要：

Based on the image processing software PCAS,this paper studies the quantitative analysis method of the soil microstructure.By explaining the significance of threshold（T）,pore throat closed radius（r）,minimum pore area（S0） and statistical parameters during image identification.The method of selecting these parameters（T,r and S0） is proposed when the soil SEM image is processed.The SEM images of six clay samples were processed by software,with different r and S0.Not only can the pore distribution image of the clay be analyzed automatically,but also the geometrical parameters and statistical parameters of the pore structure are obtained accurately,and the quantitative analysis of the pore structure in the clay is realized.The results of the image analysis finally show that the result image the pore distribution can better reflect the microstructure of the soil,with smaller r and S0.When there are less apparent porosity and the noise of the binary image.The microstructure image can be analyzed by increased r and S0 appropriately when there are more apparent porosity of the soil and noise in the binary image.