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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Considering the background and gradient effectiveness of the actual captured

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

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[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 invention discloses a method and system for identifying tunnel lining cracks based on a gradient inter-class threshold algorithm. The method includes (1) denoising the tunnel crack image; The image is binarized, and edge detection is performed according to the obtained binarized image, and the crack index is calibrated; (3) the binarized image is morphologically processed to remove the noise of the crack itself and fill the internal cavity; according to The image after filling carries out the crack indicator extraction; Its system comprises sequentially connected and comprises image enhancement module, edge detection module and crack recognition extraction module; The tunnel lining crack recognition method and system based on the gradient inter-class threshold algorithm provided by the present invention are relatively large in terms of processing capacity Huge, multi-interference images of tunnel lining cracks have a good recognition effect; it is suitable for automatic detection of lining in the skylight period of high-speed railway tunnels.

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...

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T5/00G06T7/12G06T7/136G06T5/30
CPCG06T7/0004G06T5/002G06T5/30G06T7/12G06T7/13G06T7/136G06T2207/30132
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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