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
CN101893580AInactive Publication Date: 2010-11-24BEIJING JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING JIAOTONG UNIV
Publication Date
2010-11-24
Estimated Expiration
Not applicable · inactive patent

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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.
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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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