Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for detecting crack ratio in pavement image

A detection method and image-based technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as crack analysis interference and impact on crack accuracy, and achieve the effect of ensuring accuracy, high efficiency, and simple calculation and operation

Active Publication Date: 2017-05-24
CCCC FIRST HIGHWAY CONSULTANTS
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the collected two-dimensional images are often affected by the shadows of road lighting, oil pollution, buildings and trees, etc., which will greatly interfere with the analysis of cracks based on two-dimensional images, and greatly affect the detection of the proportion of cracks to the road surface. Therefore, it is necessary to study a crack ratio detection technology in pavement images with high efficiency and high detection accuracy.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for detecting crack ratio in pavement image
  • Method and system for detecting crack ratio in pavement image
  • Method and system for detecting crack ratio in pavement image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The following are specific examples provided by the inventors. It should be noted that the provided examples are further explanations of the present invention, and the protection scope of the present invention is not limited to the given examples.

[0070] see figure 1 , following the technical solution of the present invention, the detection algorithm of the proportion of pavement cracks in the pavement image of the present embodiment includes the following steps:

[0071] Step 2: Denoising the three-dimensional road surface data matrix to obtain the three-dimensional road surface data matrix after noise removal; including the following steps:

[0072] Step 21: draw the road surface height histogram: that is, count the number of elements in each height data segment of the road surface three-dimensional data matrix, in the road surface height histogram, the abscissa is the height data in the road surface three-dimensional data matrix, and the vertical The coordinates a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a proportion detecting algorithm and system for cracks in a road surface image. A three-dimensional data matrix of a road surface is read; denoising processing is conducted on the three-dimensional data matrix; road surface cracks are recognized in the denoised three-dimensional data matrix, and a final crack image is obtained; a crack seed point is extracted from the final crack image to conduct region growth, and a crack binary image is obtained; the crack binary image is equally divided into a plurality of squares; the proportion of the cracks in the road surface image are calculated. According to the proportion detecting algorithm and system, the proportion of the cracks in the whole image can be quickly and accurately obtained as long as the collected three-dimensional data matrix is input.

Description

technical field [0001] The invention belongs to the field of road engineering, and in particular relates to a crack ratio detection algorithm and system in road surface images. Background technique [0002] According to my country's "Technical Specifications for Highway Maintenance", my country's expressway pavement evaluation includes four parts, namely road surface smoothness (driving comfort), road surface damage (pavement damage condition index), deflection (pavement structural strength) and Anti-skid performance (safety). Among them, the pavement damage index (PCI) is the most important data for decision-making and maintenance plan. It not only reflects the integrity of the pavement structure, but also directly affects the service life of the road. To adopt corresponding maintenance and improvement measures to delay its decay or restore its performance, it is necessary to correctly evaluate the damage condition of the pavement, which is one of the important bases for sc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13
CPCG06T7/0008G06T2200/04G06T2207/20182
Inventor 张娟李伟吴正伟
Owner CCCC FIRST HIGHWAY CONSULTANTS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com