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
CN104048969AInactive Publication Date: 2014-09-17樊晓东
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
樊晓东
Publication Date
2014-09-17
Estimated Expiration
Not applicable · inactive patent

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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.
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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...

Claims

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