Steel rail surface defect detection method based on reverse Gaussian difference

A Gaussian difference and defect detection technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as difficult detection, uneven surface reflection, and light conditions that are easily affected by track environment, seasons, and climate. The effect of good detection effect

Active Publication Date: 2019-07-12
HUNAN UNIV
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Problems solved by technology

[0005]1) Illumination conditions are easily affected by the track environment, seasons, and climate, which increases the difficulty of rail detection
[0006]2) Due to the special structure of the rail, its surface reflection is

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  • Steel rail surface defect detection method based on reverse Gaussian difference
  • Steel rail surface defect detection method based on reverse Gaussian difference
  • Steel rail surface defect detection method based on reverse Gaussian difference

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Embodiment Construction

[0058] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0059] Such as figure 1 , Image 6 Shown, a kind of rail surface defect detection method based on reverse Gaussian difference, described method comprises the following steps:

[0060] S1. Obtain a panoramic image F(X, Y) of the rail surface through an image acquisition device;

[0061] S2. Using the vertical projection method to extract the rail image I of the target area part from the rail surface panoramic image F(X, Y) obtained in the step S1 1 (x,y);

[0062] S3, the rail image I extracted by the step S2 by the reverse Gaussian filtering method 1 (x, y) for filtering to obtain the reverse Gaussian filter image I of the rail 2 (x,y);

[0063] S4, the rail image I extracted by the step S2 1 (x, y) and the rail reverse Gaussian filter ima...

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Abstract

The invention discloses a steel rail surface defect detection method based on reverse Gaussian difference. The method comprises the following steps that S1, acquiring a steel rail surface panoramic image through an image acquisition device; s2, extracting a steel rail image of a target area part from the steel rail surface panoramic image obtained in the step S1 by using a vertical projection method; s3, performing reverse Gaussian filtering on the steel rail image extracted in the step S2 to obtain a steel rail reverse Gaussian filtering image; s4, performing difference on the steel rail image extracted in the step S2 and the steel rail reverse Gaussian filtering image obtained in the step S3 to obtain a steel rail difference image; s5, binarizing the steel rail difference image in the step S4 to obtain a steel rail binarized image; and S6, carrying out area filtering and closing operation on the steel rail binary image in the step S5 so as to complete the detection of the defect areaon the surface of the steel rail. The method is suitable for various different rail environments, and a very good steel rail surface defect detection effect can be obtained.

Description

technical field [0001] The invention belongs to the technical field of machine vision detection, and in particular relates to a rail surface defect detection method based on reverse Gaussian difference. Background technique [0002] With economic growth, traffic congestion, environmental pollution and other issues, the demand for railway transportation has increased significantly, and at the same time, higher requirements have been put forward for modern railway infrastructure. Due to the characteristics of high density and heavy load of railways, the formation of rail surface defects, such as cracks, scars, peeling, etc., is accelerated. If they are not detected and treated in time, the rails may break and the train will derail. Therefore, how to improve the rail surface defect detection technology to meet the needs of modern rail detection systems is a major problem faced by countries all over the world. [0003] The traditional detection of railway track defects is done ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T5/30G06T5/00
CPCG06T7/0002G06T7/11G06T5/002G06T7/136G06T5/30
Inventor 毛建旭姚盼盼王耀南刘彩苹朱青代扬刘晨吴昊天田吉委李娟慧贾林
Owner HUNAN UNIV
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