桂林理工大学学报2017，Vol.37Issue(3)：547-552,6.DOI:10.3969/j.issn.1674-9057.2017.03.025
土体SEM图像微观结构的识别和统计方法
Microstructure identification and statistical method of the soil SEM image
摘要
Abstract
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 bysoftware,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.关键词
孔隙系统/PCAS/图像识别/参数选取Key words
pore systems/PCAS/identification of image/selection of parameters分类
建筑与水利引用本文复制引用
汤强,刘春,顾颖凡,施斌..土体SEM图像微观结构的识别和统计方法[J].桂林理工大学学报,2017,37(3):547-552,6.基金项目
国家自然科学基金项目(41225011 （）
41302216) （）
中国科协青年人才托举工程(2016QNRC001) （2016QNRC001）
青岛海洋科学与技术国家实验室开放基金项目(QNLM2016ORP0110) （QNLM2016ORP0110）
