Method and system for automatically detecting roadbed collapse and side slope collapse of road

Abstract

The invention provides a method and system for automatically detecting road roadbed collapse and side slope collapse. The method includes the following steps: reading a road image; dividing the road image to obtain a road face image, a side slope image and a roadbed image; conducting characteristic extraction to select GLCM-based characteristics, the Tamura-based characteristics, the statxture characteristics, the fractal characteristics, the gray level image main axis direction characteristics and the image space characteristics to serve as the characteristics of the road face image, the side slope image and the roadbed image; conducting identification and classification on the images obtained after characteristic extraction, positioning problematic areas, and calculating parameter indexes including collapse areas and collapsed body deposit capacity. By means of the method and system, the road roadbed collapse and the side slope collapse can be automatically detected according to colorful images of the road, efficiency is high, and detection is accurate.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an automatic detection method and system for road subgrade collapse and side slope collapse. Background technique [0002] With the rapid development of the road transportation industry, road transportation corridors are playing an increasingly important role in today's social economy. Transportation construction is the country's basic industry and the leading industry of economic development. Road construction has improved the structure of my country's road network, promoted inter-regional and regional economic links, effectively stimulated domestic demand, and stimulated the economic prosperity and development of areas near expressways. Regional economic development and spatial pattern evolution play an important role, and at the same time provide important convenient conditions for people's lives. [0003] The rapid development of the road transportation industry not ...

AI Technical Summary

Problems solved by technology

However, some physical devices still require manual operation, and the support of a large number of physical devices is required, which greatly increases the cost

In recent years, there have been more and more researches on intelligent detection methods based on image processing and machine vision, but they are only limited to the detection of cracks in road subgrades, slopes and protective structures, while little attention has been paid to other disease detection

And road subgrade disasters such as subgrade collapse and slope collapse can lead to traffic jams and cause major economic losses.

Moreover, many current road image processing technologies are aimed at grayscale images, and the entire detection process cannot be fully automated. At the same time, due to the richness of road features, many current feature dimensionality reduction methods cannot well reflect the actual situation of road images.

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