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A lining crack identification method based on automatic image search

A technology for crack identification and automatic search, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as unsatisfactory results, high noise, poor continuity of cracks, etc.

Active Publication Date: 2019-04-30
SHANGHAI TONGYAN CIVIL ENGINEERING TECHNOLOGY CORP LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

Grayscale-based segmentation methods will contain more noise, especially for images with rough backgrounds
The method based on edge detection is not ideal due to factors such as thin cracks, more background interference, and poor continuity of cracks.
Active contour-based models can detect strong fracture edges, but are less effective for weak-edge fractures

Method used

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  • A lining crack identification method based on automatic image search
  • A lining crack identification method based on automatic image search
  • A lining crack identification method based on automatic image search

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Embodiment Construction

[0091] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0092] refer to figure 1 , figure 2 , the present invention is a method for identifying cracks in linings based on automatic image search, and the method for identifying cracks includes the following steps S1-S6:

[0093] S1. Select an image containing cracks, and preprocess the image;

[0094] The specific operation of the step S1 is as follows:

[0095] (1) Select the image containing cracks collected by the road tunnel inspection vehicle TDV-H2000 independently developed by Shanghai Tongyan Civil Engineering Technology Co., Ltd., denoted as I; calculate its height and width, denoted as H and W respectively; set the height H=2048, width W=2560;

[0096] (2) Calculate the roughness of the image as C, and the calculation method is as follows:

[0097] (a) Calculate each pixel point (x, y) in the image at a size of 2 k *2 k The average i...

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Abstract

The invention relates to a lining crack identification method based on automatic image search, which mainly solves the technical problem that the existing identification method is influenced by factors such as finer cracks, more background interferences, poor crack continuity and the like, and comprises the following steps: S1, selecting an image containing cracks, and preprocessing the image; S2,selecting a starting point and an end point of the crack, and calculating an angle between the two points; S3, selecting a small area image by taking the starting point as a central coordinate, and performing scaling at different scales; S4, calculating CTA values of the images under different scales, and obtaining crack regions in the original small images by utilizing inter-scale association; S5, carrying out skeleton extraction on the crack area, obtaining a next image search center position, and searching towards a crack end point position; and S6, connecting the crack skeletons searchedfor multiple times to obtain complete crack coordinate information. According to the invention, the crack position information can be accurately and quickly acquired.

Description

technical field [0001] The invention relates to a lining crack recognition method based on automatic image search, in particular discloses a tunnel lining crack recognition method based on automatic image search, which is applied in the field of tunnel engineering. Background technique [0002] During the operation of the tunnel, there will be performance degradation. If it can be discovered in time and treated scientifically, the development of the disease can be delayed, the service life of the tunnel can be extended, and economic and social benefits can be improved. [0003] Cracks are a common disease in operating tunnels, and cracks are very critical diseases that affect the safety of tunnel structures. With the increase of tunnel operating mileage and longer operating time of tunnels in recent years, the maintenance work has become increasingly serious and urgent. The traditional crack detection method is inefficient and not objective enough, and frequent road closure...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/187G06T7/238G06T7/73G06T3/40G06T7/194
CPCG06T3/40G06T7/0008G06T7/11G06T7/136G06T7/187G06T7/194G06T7/238G06T7/73G06T2207/30132
Inventor 刘学增陈莹莹刘新根
Owner SHANGHAI TONGYAN CIVIL ENGINEERING TECHNOLOGY CORP LTD
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