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Tunnel lining crack recognition method and system based on gradient inter-class threshold algorithm

A crack identification and tunnel technology, applied in the field of image recognition, can solve problems such as poor results, and achieve the effect of filtering noise, efficient detection and maintenance

Inactive Publication Date: 2018-03-30
CHINA RAILWAY SIYUAN SURVEY & DESIGN GRP
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Problems solved by technology

Considering the background and gradient effectiveness of the actual captured image, the above algorithm is not effective in the image binarization stage

Method used

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  • Tunnel lining crack recognition method and system based on gradient inter-class threshold algorithm
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  • Tunnel lining crack recognition method and system based on gradient inter-class threshold algorithm

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Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0047] figure 1 As shown, it is a flow chart of the tunnel lining crack identification method based on the gradient inter-class threshold algorithm provided by the embodiment, which specifically includes the following steps:

[0048] (1) Carry out denoising processing on the tunnel crack image to remove the noise generated by the input and output equipment and the surrounding environment, and o...

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Abstract

The present invention discloses a tunnel lining crack recognition method and system based on a gradient inter-class threshold algorithm. The method comprises: (1) denoising a tunnel crack image; (2) using a gradient inter-class threshold algorithm to carry out binarization processing on the denoised image, carrying out edge detection on the obtained binarized image, and calibrating the fracture index; and (3) carrying out morphological processing on the binarized image to remove the noise of the crack itself and fill the internal void, and carrying out crack index extraction on the filled image. The system comprises an image enhancement module, an edge detection module, and a crack recognition extraction module that are connected in sequence. The tunnel lining crack recognition method andsystem based on the gradient inter-class threshold algorithm provided by the present invention has a good recognition effect for the tunnel lining crack images with huge processing amount and multi-interference, and is applicable to the automatic detection of the lining of the high-speed railway tunnel skylight period.

Description

technical field [0001] The present invention relates to the technical field of image recognition, and more specifically, to a tunnel lining crack recognition method and system based on a gradient between-class threshold algorithm. Background technique [0002] Cracks are ubiquitous in tunnel engineering and are one of the most important diseases during tunnel operation. Reasons in design, construction and use may cause cracks on the lining surface. When the crack width reaches a certain value, it will cause leakage, concrete carbonation, and lining falling blocks, etc., thereby reducing the bearing capacity and use function of the project. Accurately grasping the shape, length and width of cracks is conducive to effectively judging the reasons for their occurrence, which is necessary for the safety assessment and disease control of tunnel structures. With the increasing maturity of image processing technology, the information detection technology that combines vehicle-moun...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T5/00G06T7/12G06T7/136G06T5/30
CPCG06T5/30G06T7/0004G06T7/12G06T7/13G06T7/136G06T2207/30132G06T5/70
Inventor 石峰肖明清龚彦峰唐曌王少锋
Owner CHINA RAILWAY SIYUAN SURVEY & DESIGN GRP
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