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Tunnel defect recognition method

A tunnel disease and identification method technology, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of no public crack detection technology solution, low processing efficiency, and huge data volume, so as to improve detection efficiency and accuracy High reliability, simple monitoring method, and the effect of ensuring detection efficiency

Inactive Publication Date: 2014-09-17
樊晓东
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Problems solved by technology

The case only listed the physical structure, and did not disclose the specific technical solution for crack detection
[0004] 201210213385.0 relates to a road surface information extraction device based on two-dimensional images and depth information, which includes a two-dimensional image extraction unit and a depth image extraction unit. This solution needs to analyze the pictures one by one, the amount of data is huge, and the processing efficiency is low

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0042] Such as figure 1 , 2 , The identification method for tunnel damage of the present invention may be composed of a main control unit, a linear CCD camera, an image compression unit, an image storage unit, a synchronization controller, a displacement sensor, and the like. The input end of the synchronous controller is connected to the main control unit, the output end is connected to the image compression unit, the output end of the image compression unit is connected to the linear array CCD camera, and the input end of the image storage unit is also connected To the image storage unit, the output terminal of the image storage unit is connected to the main control unit. The displacement sensor provides the original displacement signal, which in turn controls the line arr...

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Abstract

The invention discloses a tunnel defect recognition method and a multi-image recognizing method. A linear array charge coupled device (CCD) and an image fusion technique are adopted to acquire and store digital images of a tunnel surface at a high speed, furthermore a digital image processing algorithm is adopted to perform characteristic classification modeling on known tunnel defects, a characteristic database is established for defect characteristic matching and defect recognition, and thus the defect detection efficiency and the accuracy are improved. The potential defect characteristics are repeatedly extracted by utilizing multiple detection means, the detection efficiency is ensured, and the accuracy in defect classification and the accuracy in parameter estimation are improved.

Description

technical field [0001] The invention relates to image extraction and recognition technology, in particular to a tunnel defect recognition method. Background technique [0002] In recent years, relevant units and scholars have proposed an automated tunnel surface disease information collection system. This system mainly uses optical imaging technology to install camera equipment on a mobile platform to capture high-definition images of subway tunnels and record the location of the images. After obtaining the high-definition image of the subway tunnel, a manual search is performed on the massive image data to find tunnel defects. The system mainly solves the problem of obtaining information inside the tunnel, and maintenance personnel no longer need to enter the narrow tunnel for careful investigation. 200810235410.9 relates to a surface fatigue crack detection method based on CCD image features, which discloses a method for characterizing the length and width of crack propag...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G06K9/00
Inventor 樊晓东孟俊华唐文平刘家宾樊晓莉惠艳萍冯欣冯宾田明
Owner 樊晓东
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