Road surface crack detection method based on multiple lower-layer marked features

A pavement crack and detection method technology, applied in image analysis, image enhancement, instruments, etc., to achieve the effect of strong accuracy and integrity, and a balance between real-time and precision

Active Publication Date: 2014-07-02
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, the existing algorithms assume ideal conditions and the crack characteristics are obvious, and these effects are often ignored. Therefore, it is necessary to propose a new method for effective crack detection in practical application environments.

Method used

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  • Road surface crack detection method based on multiple lower-layer marked features
  • Road surface crack detection method based on multiple lower-layer marked features
  • Road surface crack detection method based on multiple lower-layer marked features

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Embodiment Construction

[0016] The present invention is a pavement crack detection method based on multiple low-level salient features, and the steps are as follows:

[0017] (1) Acquire the grayscale image of the road surface; obtain the grayscale image of the road surface through a line array or area array camera installed on the vehicle, and the camera shooting is triggered by the mileage sensor according to the vehicle mileage;

[0018] (2) Extract the salient features of the low-level cracks; that is, the image is divided into local blocks, and the gray distance between each pixel in the block and all other pixels in the block is used as a local contrast measure, and the probability of each pixel appearing in the gray histogram As a measure of scarcity, a fracture feature map is generated;

[0019] (3) The dual-neighborhood expansion based on Bayesian theory initially extracts cracks; that is, the dual-neighborhood expansion method is used to simulate the extension characteristics of the spatial...

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Abstract

The invention discloses a road surface crack detection method based on multiple lower-layer marked features. The road surface crack detection method includes the steps of obtaining a high-resolution road surface gray level image of a corresponding mileage in the driving process of a vehicle, measuring the lower-layer marked features of cracks through the local contrast and the scarcity, depicting irregular curve structural features of the cracks in the double-layer adjacent field extension process with the Bayesian theory to eliminate noise in a large-area mode, carrying out local region growing to enhance the features of the cracks, extracting the cracks after threshold segmentation is carried out, generating specific disease parameters according to detected crack damage, and generating a statement to provide a basis for road maintenance. The road surface crack detection method is low in error detection rate and detection missing rate, and has the good adaptability to certain road crack images with serious noise interference.

Description

technical field [0001] The invention belongs to the field of road surface disease detection, in particular to a detection method for road surface crack disease. Background technique [0002] Pavement cracks are the most important pavement damage and the initial manifestation of many serious diseases. If it can be detected and repaired in the early stage of formation, it can greatly improve driving safety, save the cost of road surface maintenance, and provide decision-making basis for efficient and intelligent traffic. Traditional pavement disease detection uses artificial visual observation, which is inefficient, affects traffic, and is highly dangerous. There are large subjective differences in detection results and the accuracy is not high. Therefore, the automatic detection method of pavement disease based on digital image processing technology has been widely studied to overcome the above defects. [0003] At present, the main pavement crack detection algorithms based...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06K9/00
Inventor 唐振民吕建勇徐中宁徐威钱彬
Owner NANJING UNIV OF SCI & TECH
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