基于Matlab的水泥土细观结构孔隙率分析方法
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湖南省自然科学基金资助项目(16JJ5007)


Matlab-Based Study on Porosity Analysis Method of Soil Mesoscopic Structure
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    摘要:

    为探讨水泥土细观结构孔隙率分析方法的优劣,在Matlab图像处理技术的基础上,采用阈值分割法和灰度图像识别法分别对水泥土扫描电镜图像进行了处理和分析,获得了不同阈值分割后的水泥土细观结构形态图和灰度图像识别法处理过程图,并对两种方法处理得到的图像进行了比较分析。研究结果表明:对于同一扫描区不同倍数下得到的SEM图像,在用阈值分割法进行处理时,可先测定宏观表面孔隙率,再去寻找合理的阈值区间,阈值分割法适用于试样表面较为平整的SEM图像处理;灰度图像识别法适用于结构走向性明显且结构元素形式单一的SEM图像处理。

    Abstract:

    In view of a tentative investigation on the porosity analysis method of soil mesoscopic structure, and on the basis of Matlab image processing technology, by adopting the threshold segmentation and gray image recognition methods, a processing and analysis have been conducted on the SEM images of cement soil, thus obtaining the process map of cement soil microstructure and gray image recognition undergoing different threshold segmentation, followed by a comparative analysis of the images processed by the two methods. The results show that, for the same scanning area, the SEM images obtained under different multiple times can first determine the macroscopic surface porosity and find a reasonable threshold interval with the threshold segmentation method adopted. The threshold segmentation method is also applicable to the SEM image processing of specimens with relatively smooth surface. Meanwhile the gray scale image recognition method is suitable to the process of SEM image processing with obvious structural direction and single structural elements.

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何 杰,熊 猛,王 忍,高建喜.基于Matlab的水泥土细观结构孔隙率分析方法[J].湖南工业大学学报,2018,32(6):1-6.

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  • 收稿日期:2018-07-20
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  • 在线发布日期: 2019-01-03
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