Tunnel surface crack detection method of improved U-Net network structure
A surface crack and detection method technology, applied in the field of crack detection, can solve the problem of low accuracy of crack detection
Pending Publication Date: 2022-06-03
CHONGQING UNIV OF POSTS & TELECOMM
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[0004] The purpose of the present invention is to provide a method for detecting cracks on the surface of tunnels with improved U-Net network structure, aiming at solving the problem of low accuracy of crack detection by digital image processing technology
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[0037] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.
[0038] see Figure 1 to Figure 5 , the present invention provides a kind of tunnel surface crack detection method that improves U-Net network structure, comprises the following steps:
[0039] S1 collects the image set of tunnel surface cracks;
[0040] Specifically, a device with a digital camera, such as a vehicle or a drone, is used to collect an image set of the tunnel surface.
[0041] S2 filters the image set to obtain a data set;
[0042] Specifically, the image set is screened...
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The invention relates to the technical field of crack detection, in particular to an improved U-Net network structure tunnel surface crack detection method, which comprises the following steps: acquiring a tunnel surface image set; screening the image set to obtain a data set; decomposing the data set into a training set and a test set, and labeling the training set and the test set; training the improved U-Net network model by using the tunnel surface crack data set to obtain a crack detection network model; loading the crack detection network model on the training set to obtain a parameter weight; testing on the labeled test set based on the parameter weight by using the crack detection network model to obtain a prediction result; and the crack detection network model is evaluated through the prediction result, and the crack in the image set is classified and severity is evaluated through the crack detection network model which is qualified through evaluation by using a connected domain-based label classification algorithm, so that the problem of relatively low crack detection accuracy of a digital image processing technology is solved.
Description
technical field [0001] The invention relates to the technical field of crack detection, in particular to a method for detecting cracks on the surface of a tunnel with an improved U-Net network structure. Background technique [0002] Cracks are the most common manifestations of tunnel surface diseases, which can reflect the real condition of the current tunnel in time. In the daily maintenance of the tunnel, regular inspection of the tunnel can detect cracks in time and repair them, reduce the impact of cracks on the safety of the tunnel, and improve the service life of the highway. [0003] With the continuous development of image processing technology, many scholars have begun to use digital image processing technology for crack detection. However, due to the complex background conditions of crack shapes, uneven illumination intensity, and complex topological environment, these detection methods cannot be well detected. cracks, resulting in a lower accuracy of crack detec...
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IPC IPC(8): G06V20/10G06V10/774G06V10/764G06V10/80G06V10/82G06K9/62G06N3/04
CPCG06N3/045G06F18/24G06F18/253G06F18/214
Inventor 周强瞿中鞠芳蓉
Owner CHONGQING UNIV OF POSTS & TELECOMM