Rock joint fissure overall complexity measurement and analysis method based on improved fractal theory

Abstract

The invention provides a rock joint fissure overall complexity measurement and analysis method based on improved fractal, and the method comprises the steps: taking a maximum value in an original color image RGB as a pixel value of a corresponding gray-scale image item, carrying out the secondary processing of the gray-scale image through a fractional order integral, obtaining a smoothed image, carrying out the dynamic Otsu threshold segmentation of the image, acquiring a binary fissure image, labeling the binary rock joint fissure image, performing skeleton extraction based on spring opening water filling overflow to obtain a skeleton binary image, labeling all fissures, detecting end points and cross points of the fissures according to creek water level overflow, and detecting and denoising the end points and the cross points of the skeleton image. labeling all joint fissures in the images again, and performing fractal measurement on the whole fissures in each image to determine the complexity of the fissures in the whole image. The invention provides the improved fractal-based rock joint fissure overall complexity measurement and analysis method capable of automatically denoising and repairing a joint fissure skeleton.

Description

technical field [0001] The invention relates to the technical field of rock and soil research, in particular to an improved fractal-based method for measuring and analyzing the overall complexity of rock joints and fissures. Background technique [0002] In rock engineering, the characteristics of joints and fissures are very important rock physical properties, including orientation, shape, scale, spacing, fissure width, roughness, wall strength, etc. From the fracture joints on the exposed rock surface, the structural characteristics of the rock interior can be inferred: such as the fault joints inside the rock. In order to provide first-hand information on the strength, stability and hydraulic properties of rocks. Another method is to drill holes in the underground rock mass to obtain cores, and obtain the internal structure of the rock mass through the analysis of sliced ​​images of the cores. [0003] The traditional method of obtaining data of rock joints and fissures...

AI Technical Summary

Problems solved by technology

In practical applications, in addition to the small line segments left by noise in the binary image, the burrs on the skeleton of the main target object are generally caused by improper image segmentation methods or interference such as noise, although the length of the burr is relatively small compared to the length of the skeleton However, it is difficult to determine how long a line segment is a burr, which makes it difficult to apply the template method. Based on the above problems, this case was born

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