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Pavement crack detection method based on image processing

A technology for pavement cracks and detection methods, applied in image data processing, image enhancement, image analysis, etc., can solve problems affecting normal traffic, lack of image understanding, low accuracy, etc., to facilitate long-term detection, improve recognition accuracy, Measuring the effect of low cost

Inactive Publication Date: 2017-10-10
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0003] At present, to a large extent in China, visual inspection and simple tool measurement are still used to detect the road conditions of expressways, which can no longer meet the detection requirements of expressways. Disadvantages that are not high and affect normal traffic
[0004] However, the image recognition method used in the preprocessing, such as mean filter, adaptive smoothing filter, etc., these algorithms lack the understanding of the entire image, and cannot keep the edge of the crack well, which is not conducive to the identification of cracks

Method used

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  • Pavement crack detection method based on image processing
  • Pavement crack detection method based on image processing
  • Pavement crack detection method based on image processing

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] combine Figure 1~3 , the steps of the pavement crack detection technology based on image analysis proposed by the present invention are as follows:

[0038] Step 1: Equipment installation and image acquisition

[0039] Because road cracks are generally small, each crack has fewer pixels within the width range. In order to meet the requirements of crack width recognition accuracy, the invention uses a camera with a resolution of 2048*1536, which increases the number of pixels occupied by cracks in the image , to avoid scaling images to ensure that each photo has the same resolution (actual geometric size in units of pixels).

[0040] At the same time, in order to determine the resolution of the crack image, the actual geometric size of the image must be calibrated. The shooting requirements during calibration are the same as those of on-site collection. The sp...

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Abstract

The invention discloses a pavement crack detection method based on image processing; the method comprises the following steps: using a camera to collect images in a cracking section, and keeping a fixed height, a focal length and image sizes in the collecting process; allowing the lens to right face the crack, transmitting collected crack images to a computer for processing, preprocessing the obtained color image, segmenting the image, extracting the crack image, finally carrying out image ossification, and using pixel statistics and spatial distance to calculate integrations, thus obtaining crack area and length and width parameters. The method is simple and easy in operation, light and small in hardware, and accurate in measurements.

Description

technical field [0001] The invention belongs to the technical field of measurement and detection, in particular to an image processing-based pavement crack detection method. Background technique [0002] While the development of expressways brings convenience to people, it also poses a new problem: road maintenance and management. Because the expressway is exposed to the atmosphere, it needs to bear the corrosion of rainwater for a long time, the heavy pressure of vehicles, man-made damage, etc. will cause damage to the road, and the damage forms are various, such as cracks, potholes, etc. These diseases affect people's traffic safety. brought hidden dangers. Therefore, timely and effective pavement damage detection has become the top priority of road maintenance, among which pavement crack detection is a key part. [0003] At present, to a large extent in China, visual inspection and simple tool measurement are still used to detect the road conditions of expressways, whic...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/00G06T7/136G06T7/62
CPCG06T7/0002G06T7/136G06T7/62G06T2207/20032G06T2207/10024G06T2207/30184G06T5/70
Inventor 高建坡董伟
Owner NANJING UNIV OF SCI & TECH
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