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Automatic identification system and method for high-speed railway CPIII marker

A high-speed railway, automatic identification technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problems of inability to meet the rapid maintenance and repair of railways, low detection efficiency, low inspection accuracy, etc. High degree of automation, strong real-time effect

Inactive Publication Date: 2015-08-19
CHANGAN UNIV
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Problems solved by technology

[0003] At present, static detection methods are mostly used for track detection, and instruments such as total stations and track rulers are usually used. The outstanding problems of this detection method are high work intensity, poor reliability, low detection efficiency, and low inspection accuracy. Requirements for Rapid Maintenance and Repair of Railways

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  • Automatic identification system and method for high-speed railway CPIII marker
  • Automatic identification system and method for high-speed railway CPIII marker
  • Automatic identification system and method for high-speed railway CPIII marker

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Embodiment Construction

[0035] The recognition method can be installed in a computer system, and image information can be obtained through a line array camera connected with the system to quickly complete the recognition process. The whole set of equipment can be installed on the rail inspection car. The specific process of the identification method is as follows:

[0036] A method for automatic identification of high-speed railway CPⅢ markers, comprising the following steps:

[0037] Use the line-scan camera set on the outer wall of the rail inspection car to collect an image containing the CPⅢ marker of the high-speed railway, and transmit the image to the computer system, where the following processing is performed:

[0038] Step 1, sequentially perform mean value filtering, image difference and image segmentation processing on the collected images, specifically:

[0039] The mean value filtering process is performed on the collected image. The principle is to use a pixel as the center and 8 pix...

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Abstract

The present invention discloses an automatic identification system and an automatic identification method for high-speed railway CPIII markers. The automatic identification system carries out image processing on an acquired image through an industrial control computer, makes features of the marker in the image more clear through algorithms such as average filtering, image differencing and image segmentation, is conductive to template matching in the next step, carries out template matching, creates a template which contains features of an object for matching, achieves the identification purpose through comparison and calculation via the template in a target image containing the object, and provides support for the subsequent center point coordinate calculation and camera calibration of the CPIII marker.

Description

technical field [0001] The invention belongs to machine vision detection technology, and relates to an automatic identification method for high-speed railway CPⅢ markers based on a machine vision detection platform. Background technique [0002] The speed of the train has been increased many times, and its maintenance and safe operation requirements are getting higher and higher. In addition, after the overall speed increase and the rapid increase of passenger flow, the railway load is increasing day by day, and the problem of operation safety has become more prominent. As a result, various parameters of the track have changed. Even the track is damaged so that there are operational safety hazards. In order to ensure the safety of railway operation, it is necessary to strengthen the detection of railway tracks. [0003] At present, static detection methods are mostly used for track detection, and instruments such as total stations and track rulers are usually used. The outs...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/64
Inventor 韩毅许耀华王文宇杨燕雨刘海洋
Owner CHANGAN UNIV
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