Microstructure of the eco-material combining vegetation recovery with slope protection is important for determining plant-growing properties.Several techniques for analyzing the eco-material microstructure are present...Microstructure of the eco-material combining vegetation recovery with slope protection is important for determining plant-growing properties.Several techniques for analyzing the eco-material microstructure are presented,including the freeze-cut-drying method of preparing samples for scanning electronic microscopy (SEM),the SEM image processing technique and quantifying analysis method of the SEM images,and etc.The aggregates and pores in SEM images are identified using the different mathematics operators,and their effects are compared.The areas of aggregates and pores are obtained using the operator of morphology,and the influences of different thresholds in image segmentation are also discussed.The results show that the method,in which the variation of non-maximum grey-level gradient is limited,improves the effect of edge detections due to a weak distinction existing at the edge between the aggregates and pores in image.The determination of the threshold should combine the image characteristic with filling operation,so as to assure the precision of the image analysis,in which the contact-segmentation is the simplest and most effective method.The results also show that the pore areas in eco-materials are generally larger than those in the correlative soils,and their increment is large as soil fabric being fine.These differences are related to admixture of expansive perlitic.The operator of morphology provides a new method for the image analysis of other porous material microstructure such as soils and concretes.展开更多
In this paper, quantitative study on the microstructure of loess is done based on the study of seismic subsidences of the Yongdeng M_S5.8 earthquake in 1995. Using SEM and image processing techniques, a comparison ana...In this paper, quantitative study on the microstructure of loess is done based on the study of seismic subsidences of the Yongdeng M_S5.8 earthquake in 1995. Using SEM and image processing techniques, a comparison analysis on the microstructure of loess is done and distribution curves of loess pores are obtained. Based on laser grain analyzer test and trellis structure changes under earthquake effect, the dynamic properties of loess are explained. At the same time, pore distribution of loess from seismic zone and non-seismic zone is compared. The result shows that the pore distribution features of different meizoseismal zones are different, and even that loess at the similar depths has substantial differences, too.展开更多
The working principles of Videolab Image Processing System (VIPS), the examining methods of orientation of microstructural units of clay soils and analysing results on SEM images of some typical microstructures of cla...The working principles of Videolab Image Processing System (VIPS), the examining methods of orientation of microstructural units of clay soils and analysing results on SEM images of some typical microstructures of clay soils using the VIPS are introduced.展开更多
土体微观结构是土体宏观力学机制的反映,深入研究土体微观结构对正确评价土体工程性质具有重要的指导意义.针对松散砂性土的微观结构量化研究中存在的难题,提出了一整套样品制备方法和试验方法,基于数字图像处理技术,对土样的扫描电子...土体微观结构是土体宏观力学机制的反映,深入研究土体微观结构对正确评价土体工程性质具有重要的指导意义.针对松散砂性土的微观结构量化研究中存在的难题,提出了一整套样品制备方法和试验方法,基于数字图像处理技术,对土样的扫描电子显微镜图像(scanning electron microscope,SEM)进行了定量分析,并通过自主开发的程序实现了土样微观结构量化指标的快速获取和全自动处理.采用该方法能对松散的砂性土制备出符合扫描电镜观测要求并同时保持原始结构不受扰动的试样,开发的程序能对土样的SEM图像进行去除多余信息、二值化、去噪、参数统计等预处理步骤,快速获取颗粒个数、面积、形态比、表观孔隙率、分形维数等微观结构量化指标.借助统计学方法,对一些关键量化指标的分布特征进行了分析和探讨.研究结果表明,计算机图像处理技术可以高效识别土体的颗粒和孔隙形态,进行土体微观结构参数的精确提取,从而为土体微观结构的定量分析提供了有效的途径.展开更多
文摘Microstructure of the eco-material combining vegetation recovery with slope protection is important for determining plant-growing properties.Several techniques for analyzing the eco-material microstructure are presented,including the freeze-cut-drying method of preparing samples for scanning electronic microscopy (SEM),the SEM image processing technique and quantifying analysis method of the SEM images,and etc.The aggregates and pores in SEM images are identified using the different mathematics operators,and their effects are compared.The areas of aggregates and pores are obtained using the operator of morphology,and the influences of different thresholds in image segmentation are also discussed.The results show that the method,in which the variation of non-maximum grey-level gradient is limited,improves the effect of edge detections due to a weak distinction existing at the edge between the aggregates and pores in image.The determination of the threshold should combine the image characteristic with filling operation,so as to assure the precision of the image analysis,in which the contact-segmentation is the simplest and most effective method.The results also show that the pore areas in eco-materials are generally larger than those in the correlative soils,and their increment is large as soil fabric being fine.These differences are related to admixture of expansive perlitic.The operator of morphology provides a new method for the image analysis of other porous material microstructure such as soils and concretes.
文摘In this paper, quantitative study on the microstructure of loess is done based on the study of seismic subsidences of the Yongdeng M_S5.8 earthquake in 1995. Using SEM and image processing techniques, a comparison analysis on the microstructure of loess is done and distribution curves of loess pores are obtained. Based on laser grain analyzer test and trellis structure changes under earthquake effect, the dynamic properties of loess are explained. At the same time, pore distribution of loess from seismic zone and non-seismic zone is compared. The result shows that the pore distribution features of different meizoseismal zones are different, and even that loess at the similar depths has substantial differences, too.
基金Project supported by the National Natural Science Foundation of China.
文摘The working principles of Videolab Image Processing System (VIPS), the examining methods of orientation of microstructural units of clay soils and analysing results on SEM images of some typical microstructures of clay soils using the VIPS are introduced.
文摘土体微观结构是土体宏观力学机制的反映,深入研究土体微观结构对正确评价土体工程性质具有重要的指导意义.针对松散砂性土的微观结构量化研究中存在的难题,提出了一整套样品制备方法和试验方法,基于数字图像处理技术,对土样的扫描电子显微镜图像(scanning electron microscope,SEM)进行了定量分析,并通过自主开发的程序实现了土样微观结构量化指标的快速获取和全自动处理.采用该方法能对松散的砂性土制备出符合扫描电镜观测要求并同时保持原始结构不受扰动的试样,开发的程序能对土样的SEM图像进行去除多余信息、二值化、去噪、参数统计等预处理步骤,快速获取颗粒个数、面积、形态比、表观孔隙率、分形维数等微观结构量化指标.借助统计学方法,对一些关键量化指标的分布特征进行了分析和探讨.研究结果表明,计算机图像处理技术可以高效识别土体的颗粒和孔隙形态,进行土体微观结构参数的精确提取,从而为土体微观结构的定量分析提供了有效的途径.
