城市地质2024，Vol.19Issue(2)：218-224,7.DOI:10.3969/j.issn.2097-3764.2024.02.010
黄土微结构SEM图像分析中的影响因素研究
Research on influencing factors in SEM image analysis of loess microstructure
宋朋燃 1赵晓明 1刘策1
作者信息
- 1. 吉林省水利水电勘测设计研究院,吉林 长春 130012
- 折叠
摘要
Abstract
The quantitative analysis technology of soil microstructure is a research direction in micro-soil mechanics.The effective extraction of soil microstructure parameters using image processing technology is an important foundation for correctly analyzing soil microstructure characteristics.In response to the problems in extracting soil microstructure information,MATLAB program-ming method was used to process SEM images of Liaoxi loess samples with different image cross-sectional sizes,grayscale thresh-olds,and image magnification.The fractal dimension,porosity,pore size,and distribution of Liaoxi loess pores were studied,and the influence of image processing methods on loess microstructure parameters was explored.The results show that:1)a small im-age capture area has a significant impact on the extracted loess microstructure parameters,while medium and large cross-sections have a small impact on the extracted loess microstructure parameters.The loess microstructure parameters obtained by process-ing the image with medium cross-sections are closest to the physical test values of the soil sample.2)The grayscale threshold has a small impact on the fractal dimension of pores,but a significant impact on porosity and pore area.The recommended range of grayscale threshold values for SEM images of loess in western Liaoning is 100-120.3)Excessive magnification can dis-tort the fractal dimension of pores,and the distribution of porosity and pore area is inversely proportional to the increase in mag-nification.关键词
SEM/微观结构/分形维数/孔隙率/图像处理Key words
SEM/microstructure/fractal dimension/porosity/image processing引用本文复制引用
宋朋燃,赵晓明,刘策..黄土微结构SEM图像分析中的影响因素研究[J].城市地质,2024,19(2):218-224,7.
