A Mountain Crack Detection Method Based on Local Image Enhancement

Abstract

The invention discloses a method for detecting cracks in a mountain body, which includes analyzing the collected image through an image sliding window, and determining the contrast of each pixel of the image; constructing a contrast map according to the contrast, analyzing the contrast map, and determining the contrast map According to the threshold, determine the area to be enhanced, and perform image enhancement processing on the area to be enhanced; analyze the processed image, determine the grayscale feature map and variance feature map; calculate the grayscale feature The optimal segmentation threshold of the graph and the variance feature map, and obtain the binary image of the grayscale feature and the variance feature, and perform the sum operation on the two binary images to determine the binary image of the crack; the binary image of the target crack The graph is transformed to determine its refined skeleton, and the skeleton is extended to obtain all the potential areas of cracks on the skeleton; the pixels of the skeleton are traversed to obtain the length information of the crack, and the area of ​​the crack is calculated according to the number of pixels in the region .

Description

A Mountain Crack Detection Method Based on Local Image Enhancement technical field The invention relates to the technical field of digital image processing, in particular to a mountain crack detection method based on local image enhancement. Background technique With the continuous deterioration of the natural environment and more and more man-made engineering constructions, the number of landslides is increasing every year, and the intensity and frequency are increasing every year. The annual loss caused by landslides in China exceeds 400 million US dollars. Landslides have caused huge property losses and casualties, and it is very necessary to establish an early warning system. Landslide early warning systems are currently monitored by monitoring instruments. The traditional methods for landslide monitoring are as follows: conventional geodesy; hydrostatic leveling, gravity measurement; groundwater level monitoring; electrical measurement , Underground drilling tilt, e...

AI Technical Summary

Problems solved by technology

Aiming at the problems in related technologies, the present invention proposes a mountain crack detection method based on local image enhancement, which solves the problem of difficult identification of mountain cracks, and has the advantage of non-contact measurement compared with traditional instrument monitoring methods, and is suitable for real-time monitoring in the field surroundings

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