基于数字图像处理技术的页岩细观结构图像研究

C. Yuchao, Liu Hui
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引用次数: 5

摘要

将灰度变换、图像锐化、图像分割和边缘检测等数字图像处理技术应用于页岩细观结构图像的研究。结果表明,数字图像处理技术可以从CT图像中提取有用信息,构建页岩细观结构模型。该模型显示了岩石中不同介质的空间分布。细观结构图像中可以清晰地看到损伤扩展的过程。同时,给出了建立有限元网格模型的过程,包括几何矢量化、尺度变换和有限元软件接口的实现。该方法可为进一步研究岩石的物理力学性质奠定研究基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the meso-structure image of shale based on the digital image processing technique
The digital image processing techniques, including gray level transformation, image sharpening, image segmentation and edge detection, is applied to the study on the meso-structure image of shale. The results show that the digital image processing technique can extract useful information from the CT images and construct a model of meso-structure of shale. The model shows the spatial distribution of the different media in the rock. The process of the damage propagation can be seen IN the meso-structure image clearly. Meanwhile, a process, including geometrical vectorization, scaling transformation, and the realization of the FEM software interface, is provided to establish a finite element grid model. The proposed approach can be a research foundation for the further study on the physical and mechanical properties of rock.
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