Morphological Measurement of Cracks in Geotechnical Microscopic Images
With the development of computers, image technology has also been advanced. Microscopic image processing has become one of the important methods for the study of cracks in geotechnical images. It helps to display the microscopic model of geotechnical soil and reveal the changing laws of geophysical properties. It is important to establish new logging methods and interpretation models, but the correctness and applicability of numerical simulation depend to a large extent on the microscopic model of the geotechnical soil. Only the pore structure of the model can reflect the real rock sample. When the pore structure is characterized, the simulation results have theoretical and practical value. How to effectively obtain the permeability characteristics of geotechnical fissures and other related information through microscope image data has practical significance. In this paper, the computerized tomography microscopy technique is used to set the standard value of the microscopic number of pixels in the suspected crack area to ξ=18 according to the distribution law of the number of microscopes on the scanning section, and the detection operation of the suspected crack area is carried out. Grayscale images were randomly generated in MATLAB programming software and statistical theory. At the same time, the fracture morphology was introduced to measure the content and distribution of geotechnical soil, and the parameters were compared and analyzed for different geotechnical models. The crack length and width are then defined, and the crack size is calculated using this parameter. This work has certain significance for promoting the quantitative description of geotechnical microscope images.