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Digital image based detection method of surface flaw of steel rail

A technology for rails and defects, applied in the fields of transportation, industrial monitoring, digital image processing and pattern recognition, can solve the problems of slow detection, weak robustness, difficult performance and robustness to satisfy users, etc., to eliminate noise. , The effect of fast detection speed and high detection accuracy

Inactive Publication Date: 2010-11-24
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] 2) Spectral method: Statistical method is mainly to analyze and process the gray level information in the spatial domain, and its performance and robustness are difficult to meet the requirements of users
[0007] Although the above method can detect rail surface defects to a certain extent, it also has obvious deficiencies.
First of all, the detection speed of these methods is relatively slow, and they cannot meet the requirements of real-time detection when the detection train running speed exceeds 60km / h
Secondly, the robustness is not strong, and the imaging quality of the acquisition system is particularly demanding, and its detection performance is greatly affected by the external environment such as light

Method used

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  • Digital image based detection method of surface flaw of steel rail
  • Digital image based detection method of surface flaw of steel rail
  • Digital image based detection method of surface flaw of steel rail

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Embodiment 1: Application in Track Inspection Vehicle

[0032] The track inspection vehicle is an important equipment specially used to detect the safety technical parameters of the high-speed railway track and roadbed, and to ensure the safety of high-speed trains. Among them, the rail surface defect is a very important detection target of the rail inspection vehicle. The present invention is especially suitable for rail inspection vehicles. The high-speed camera on the inspection vehicle collects the images of the rail surface in real time, and as the input of the method provided by the present invention, the method will automatically analyze the input and collected images, identify and locate rail defects, and the steps include: Rail area extraction, contrast map generation, suspicious defect area location, defect judgment, the flow chart is shown infigure 1 .

[0033] Step S1: Rail region extraction

[0034] The gray value of the area where the rail is located in ...

Embodiment 2

[0073] Embodiment 2: Application in Portable Rail Surface Defect Detection Equipment

[0074] Portable rail surface defect detection equipment is a handheld device that is equipped with a camera and an embedded computing platform. The present invention can also run on an embedded platform. The device first scans the rail and collects images of the rail, and then intelligently analyzes and collects the image through the method provided by the present invention to identify defects on the surface of the rail. The implementation steps are similar to the description in Embodiment 1 .

Embodiment 3

[0075] Embodiment 3: Application in Quality Monitoring of Strip Steel Production Line

[0076] Strip steel is a narrow and long steel plate produced to meet the needs of different industrial sectors. Defects on the surface of the strip are an important factor affecting the quality of its products. Therefore, the present invention can also be applied to the quality monitoring of the steel strip production line. At the end of the strip line, the strip passes through the image acquisition system. Then, the method provided by the present invention automatically analyzes and collects images, and intelligently identifies defects on the surface of the steel strip, and its implementation steps are similar to the description in Embodiment 1.

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Abstract

The invention provides a digital image based detection method of a surface flaw of a steel rail. The method comprises the following steps of: extracting steel rail regions from shot steel rail images; simulating a human vision mechanism; and converting gray-scale images into contrast images so as to locate and judge suspicious flaw regions. The detection method provided by the invention has the advantages of high detection speed, high accuracy, self-adaption capability to the steel rail image acquisition environment and can effectively eliminate the influence of unfavorable factors, such as noise, illumination, and the like.

Description

technical field [0001] The invention relates to the fields of transportation, industrial monitoring, digital image processing and pattern recognition, in particular to a digital image-based detection method for rail surface defects. Background technique [0002] The safety of railway transportation has always been a major issue related to economic development and personal safety. With the speed increase of existing lines and the successive construction of passenger dedicated lines, the high-speed operation of EMUs has put forward higher requirements for the maintenance and repair of various railway infrastructures. As an important railway infrastructure, steel rails have a direct and vital impact on driving safety. Therefore, it is necessary to strengthen the dynamic detection and status monitoring of steel rails and guide maintenance and repair in time. [0003] For a long time in the past, rail defect detection has always relied on manual inspection, which is inefficient ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G06T5/00G06T7/00B61K9/08
Inventor 李清勇罗四维林杰王永亮吕国豪
Owner BEIJING JIAOTONG UNIV
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