Tunnel concrete lining paving seam removal algorithm based on translation and extension of straight-line segment

A straight-line segment and lining technology, applied in computing, image data processing, instruments, etc., can solve problems such as grayscale similarity, easy complex connection, lining seam removal algorithm defects, etc., to achieve strong robustness, good satisfaction, time low cost effect

Active Publication Date: 2018-11-13
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0003] However, in the process of crack detection, due to the complex connection between the inherent lining seam and the crack on the surface of the tunnel concrete lining, and the similar gray scale, the existing crack detection cannot accurately extract a single crack pixel, and the existing lining seam removal The algorithm is flawed

Method used

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  • Tunnel concrete lining paving seam removal algorithm based on translation and extension of straight-line segment
  • Tunnel concrete lining paving seam removal algorithm based on translation and extension of straight-line segment
  • Tunnel concrete lining paving seam removal algorithm based on translation and extension of straight-line segment

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Embodiment 1

[0044] This embodiment provides a tunnel concrete lining seam removal algorithm based on translation and extension of straight line segments, for example image 3 The 4 pieces of actual tunnel concrete lining surface image data are used for the tunnel concrete lining seam removal experiment. The process is as follows: figure 1 include:

[0045] Step 1, receive as Figure 4 The binary image detected by the secondary seepage model, using the LSD algorithm to extract significant straight line segments such as Figure 5 , to obtain the set of straight line segments Line;

[0046] Step 2, use Calculate the length of the straight line segment l in the straight line segment collection Line l ,use Calculate the inclination θ of the straight line segment l in the straight line segment set Line l , corrected slope θ l Make the inclination of the straight line segment l belong to [0°, 180°]; define the angular area model under polar coordinates, divide [0°, 180°] into 60 angle sub...

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Abstract

The invention relates to a tunnel concrete lining paving seam removal algorithm based on translation and extension of a straight-line segment, for solving the technical problem that paving seams in the surface of the tunnel concrete lining interfere crack detection. The algorithm comprises the steps of 1, receiving a binary image detected by a secondary seepage model, extracting a significant straight-line segment, thus acquiring a straight-line set Line; 2, classifying all straight-line segments in the set Line; 3, traversing the straight-line set Line, judging the translation direction of the current straight-line according to a translation direction criterion, judging an extension width of the current straight-line segment according to an extension width criterion and a straight-line segment classification result in the step 2, then performing translation and extension treatment on all the straight-line segments, and thus acquiring an initial result image; and 4, performing seepagedenoising on the initial result image acquired in the step 3, and outputting a finial result map. Therefore, the problem is well solved, and the algorithm can be applied to related field of tunnel crack detection.

Description

technical field [0001] The invention relates to the field of tunnel concrete lining seam removal, in particular to a tunnel concrete lining seam removal algorithm based on linear segment translation and extension. Background technique [0002] Tunnels are an important part of current transportation infrastructure. In recent years, tunnel safety monitoring has received extensive attention and attention. During the operation of the tunnel, there are different degrees of diseases such as cracking, deformation, water leakage, etc. These diseases seriously threaten the operation safety of the tunnel. Cracks have always been the main form of tunnel damage. With the help of computer vision, the crack recognition technology based on digital image processing avoids the subjectivity and safety problems of manual instrument detection, and can conduct qualitative and quantitative analysis of tunnel crack defects. The crack detection algorithm is an important part of the crack identif...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/12G06T7/00
CPCG06T7/0004G06T7/12G06T2207/30132G06T5/70
Inventor 瞿中陈思琪杨迪刘妍
Owner CHONGQING UNIV OF POSTS & TELECOMM
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