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Bridge crack detection method based on image superposition and crack information fusion

A detection method and image technology, which is applied in the fields of physics and bridge crack detection, can solve the problems of long time-consuming algorithm and reduction of crack pixel points, etc., and achieve the effect of fast processing speed and high detection accuracy

Active Publication Date: 2020-12-08
XIDIAN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a bridge crack detection method of image superposition and crack information fusion, which is used to solve the time-consuming algorithm existing in the prior art, sampling the image of the bridge to be detected, and making cracks The problem of pixel reduction

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  • Bridge crack detection method based on image superposition and crack information fusion
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  • Bridge crack detection method based on image superposition and crack information fusion

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Embodiment Construction

[0037] The present invention will be described in further detail below with reference to the accompanying drawings.

[0038] Refer to attached figure 1 The steps of the present invention are further described in detail.

[0039] Step 1, take an image with the camera, check the detailed information of the image on the computer, and obtain the focal length of the captured image;

[0040] Step 2, using the corresponding relationship between the focal length and the shooting angle of view to obtain the shooting angle of view.

[0041] The corresponding relationship between the focal length and the shooting angle of view is attached figure 2 As shown, the data at the top of the cone in the image indicates the focal length, the data at the bottom of the cone indicates the shooting angle of view, the Fish-eye at the top of the semicircle indicates the fisheye camera, and the data at the bottom of the semicircle indicates the shooting angle of view is 180 degrees.

[0042] Step 3,...

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Abstract

The invention discloses a bridge crack detection method based on image superposition and crack information fusion. The method comprises the steps of collecting a bridge image, carrying out the Gaussian smoothing, calculating the image gradient through employing a Sobel operator, extracting a symbiotic edge and a seed point, connecting the seed point, deleting an overlong seed point connection line, obtaining a crack skeleton diagram, deleting an overshort skeleton, and obtaining a crack diagram; acquiring crack information of a single image, superposing the images according to a shooting sequence, connecting cracks at the superposed edges of the images, and acquiring width, length and number information of the cracks on a complete component. The crack image is acquired by adopting the image superposition method, so that the method has the characteristics of high detection precision and high detection speed, and can be used for acquiring the position, width and length information of thecracks on the bridge component.

Description

technical field [0001] The invention belongs to the technical field of physics, and further relates to a bridge crack detection method in the technical field of image processing by image superposition and crack information fusion. The invention can be applied to the field of bridge crack detection, and can accurately obtain disease information such as the position, width and length of the crack from the bridge image through the image processing technology. Background technique [0002] Crack information is an important index to measure the degree of bridge concrete damage, and image processing is currently the most commonly used technology to obtain bridge crack information. For panoramic images and crack information, images need to be spliced. Among the commonly used image stitching methods, the image stitching method based on feature points has the disadvantages of large amount of calculation and long time consumption, and the image stitching method based on pyramid fusio...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T3/40G06T5/50
CPCG06T7/0008G06T3/4038G06T5/50G06T2207/10004G06T2207/30132G06T2207/20016G06T2207/20221
Inventor 杜建超于成龙栗一鸣李云松肖嵩
Owner XIDIAN UNIV
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