Pavement Crack Extraction and Evaluation Method Based on Concavity Measurement

A technology of pavement cracks and concavities, applied in the field of image processing, can solve the problems of weak robustness and inaccurate extraction of pavement cracks.

Inactive Publication Date: 2016-03-02
WUHAN INSTITUTE OF TECHNOLOGY
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide an evaluation method that can automatically and accurately extract crack targets and perform crack shape analysis in view of the defects in the prior art that the extraction of pavement cracks is not accurate enough, perfect, and not robust.

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
  • Pavement Crack Extraction and Evaluation Method Based on Concavity Measurement
  • Pavement Crack Extraction and Evaluation Method Based on Concavity Measurement
  • Pavement Crack Extraction and Evaluation Method Based on Concavity Measurement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0072] The method for extracting and evaluating pavement cracks based on the concavity measurement in the embodiment of the present invention mainly includes the following steps:

[0073] S101. Collect images of road cracks;

[0074] S102. Perform normalization processing on the collected road crack image so that the gray value of the entire image is between 0-255, such as figure 2 Shown

[0075] S103: Extract the concave feature intensity: select a window of a certain size according to the image after the normalization process in step S102, and calculate the concave feature intensity value of the...

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 method for extracting and evaluating a pavement crack based on concavity measurement. The method mainly comprises the steps that concavity characteristic strength calculation and processing are carried out on a collected pavement crack image through the concavity measurement; a concavity characteristic strength value is enhanced by adopting the local contrast; preliminary noise reduction is carried out through area variance calculation, and statistics and connected domain noise reduction based on geometrical features are carried out on geometrical features of all connected domains of a characteristic strength image processed in a binarization mode; morphological expansion processing and frame extraction are carried out on a result image after geometrical feature noise reduction; statistics is carried out on the geometric sense of the crack in the image after frame extraction, pixel tracking is carried out on a crack target through a depth search algorithm, and a linear target characteristic value obtained through tracking is stored; image information of the crack is converted into graphic data vector information to obtain topological morphological characteristics of the crack, and finally analysis, statistics and description are carried out on the characteristics of the crack. The method can automatically and accurately extract the crack target and carry out analysis, statistics and description on the morphology of the crack.

Description

Technical field [0001] The invention relates to the field of image processing, in particular to a road crack extraction and evaluation method based on a concave measurement. Background technique [0002] In recent years, with the development of my country’s transportation industry, especially the rapid development of highway construction, the mileage of highways and the number of heavy vehicles are increasing rapidly, and the resulting deformation of the road surface has become an increasingly prominent Problem, the analysis of pavement cracks is an important part of evaluating pavement performance, and it is also the basis for scientific road maintenance. Cracks are longitudinal belt grooves produced on the roadway after repeated rolling and rolling of automobile tires to produce flow deformation, wear and subsidence. It is a permanent deformation of the road surface. It is caused by the depression of the wheel track and the uplift on both sides. composition. At present, my cou...

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): G06K9/46G06K9/00G06T5/00
Inventor 洪汉玉章秀华洪梓铭荆根强
Owner WUHAN INSTITUTE OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products