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

Intelligent processing method for repairing concrete crack surface image

A concrete surface and surface image technology, applied in measuring devices, material analysis through optical means, instruments, etc., can solve problems such as low degree of automation, difficulty in finding thresholds, and difficulty in accurately controlling segmentation accuracy, and achieve image segmentation accuracy High, stable and reliable calculation, high degree of automation effect

Inactive Publication Date: 2009-04-15
HOHAI UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] For the evaluation index of electrodeposition effect - the determination of surface coverage, due to the extremely uneven distribution of deposits, the use of general methods will bring large errors, such as using Photoshop to achieve image segmentation, the operation of which is complicated and automatic The degree is not high, the scales of "enlarged selection" and "selected similarity" are not easy to grasp, and the color range cannot be accurately positioned, which is highly subjective, making it difficult to accurately control the segmentation accuracy, thus affecting the accuracy of surface coverage calculation; and For the binarized image segmentation method with custom threshold, for example, the binarized threshold parameter in MATLAB software is an artificially set value between 0 and 1, it is difficult to find an ideal threshold, and it is also highly subjective. , affecting the accuracy of image segmentation, making it difficult to accurately control the calculation accuracy of surface coverage

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
  • Intelligent processing method for repairing concrete crack surface image
  • Intelligent processing method for repairing concrete crack surface image
  • Intelligent processing method for repairing concrete crack surface image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0032] 1. Image acquisition

[0033] Electrochemical deposition method uses MgSO 4 , A solution with a concentration of 0.05mol / L, soak the concrete with cracks, apply current, and the current density on the surface of the concrete is 1A / m 2 , To repair concrete cracks, use a digital camera with an image number of more than 3 million to take pictures of the surface of the cracked concrete after repair, such as figure 1 Shown

[0034] Second, image segmentation

[0035] Cut the original image to remove the part of the concrete surface that is not used to calculate the surface coverage, such as figure 2 As shown, then adjust the contrast of the image to control the contrast between 20% and 30% to enlarge the contrast between the sediment image and the concrete surface image, such as image 3 As shown, the maximum between-class variance threshold segmentation method is used to divide a certain threshold of the histogram into two groups. When the variance of the divided two groups i...

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

PropertyMeasurementUnit
current densityaaaaaaaaaa
Login to View More

Abstract

The invention relates to an intelligent handing method for mending concrete cracking surface picture, which has the following steps: picture collecting, picture separating, surface coverage percentage computing. The invention also can mend the cracking traverse plane coverage percentage of the concrete cracks, ascertains the nanometer particle content of the nanometer coating and handles the similar pictures.

Description

Technical field [0001] The invention is a processing method for the surface image presented after the concrete crack is repaired, and belongs to the technical field of the combination of civil engineering and computer science and engineering. Background technique [0002] For the evaluation index of electrodeposition effect-the measurement of surface coverage, due to the extremely uneven distribution of sediments, the use of general methods will bring greater errors, such as the use of Photoshop to achieve image segmentation, which is complicated and automated. The degree is not high, the scales of “enlarged selection” and “selection of similarity” are difficult to grasp, and the color range cannot be accurately positioned. It is highly subjective, which makes it difficult to accurately control the accuracy of segmentation, which affects the accuracy of surface coverage calculation; and For binarized image segmentation methods with custom thresholds, for example, the binarization...

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): G01N21/84G06K9/34
Inventor 蒋林华储洪强
Owner HOHAI UNIV
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