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

Airport pavement crack detection method based on infrared and visible light image data fusion

A technology of infrared image and image data, which is applied in image data processing, image analysis, image enhancement, etc., can solve the problems of lack of effective methods and achieve the effect of enhancing robustness and accuracy

Active Publication Date: 2019-09-17
CIVIL AVIATION UNIV OF CHINA
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is still no effective method

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
  • Airport pavement crack detection method based on infrared and visible light image data fusion
  • Airport pavement crack detection method based on infrared and visible light image data fusion
  • Airport pavement crack detection method based on infrared and visible light image data fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0033]The infrared thermal imaging camera uses the infrared detector and the optical imaging objective lens to receive the infrared radiation energy distribution pattern of the measured target and reflect it on the photosensitive element of the infrared detector to obtain an infrared image. Infrared images have the advantages of better showing the characteristics of the existence and location of the target, less interference in the natural environment, clear information on the fracture area, etc., but have the disadvantages of blurring the edge of the fracture and blurring the visual effect. For visible light images, visible light images have the advantages of better detail information and the disadvantages of being susceptible to noise interference and inaccurate area information. Combining the above advantages and disadvantages of visible l...

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 an airport pavement crack detection method based on infrared and visible light image data fusion. The method comprises the following steps: registering an infrared image and a visible light image; calculating the contrast ratio of the infrared image and the visible light image after registration to obtain respective initial crack pixel points; establishing a fusion decision-making model based on local gray scale and temperature probability distribution, and verifying an initial crack communication area formed by adjacent initial crack pixel points by using the model to obtain a candidate crack area; fusing the candidate crack regions in the visible light image and the infrared image to generate a fused candidate crack region; and screening the fusion candidate crack area to obtain a final real crack area detection result. The method has the advantages that complementarity of infrared and visible light sensor detection technologies is well utilized, the problem that crack detection is limited by means of a single sensor is solved, the sensitivity to illumination in the crack detection process is reduced, the robustness to environmental noise is enhanced, and the detection accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and in particular relates to an airport pavement crack detection method based on fusion of infrared and visible light image data. Background technique [0002] The maintenance of airport runways is very important to the flight safety of aircraft. Due to the increase in flight frequency and the destruction of the natural environment, many airport runway surfaces have been damaged to varying degrees, which has caused major safety hazards. The main flaw of the surface. Therefore, the crack detection technology of airport runway pavement has been paid more and more attention. [0003] At present, with the rapid development of related technologies such as visual sensor technology and pattern recognition, some scholars have begun to pay attention to crack detection technology based on computer vision. However, the vast majority of existing studies are carried out on roads or bridges, ...

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 Applications(China)
IPC IPC(8): G06T7/00G06T7/30G06T7/136
CPCG06T7/0002G06T7/30G06T7/136G06T2207/20028G06T2207/10048
Inventor 李海丰聂晶晶吴治龙范龙飞
Owner CIVIL AVIATION UNIV OF CHINA
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