Research on influencing factors in SEM image analysis of loess microstructure
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.
国家科技期刊平台
NSTL
万方数据
