Railway vehicle body detection method

A rail vehicle and detection method technology, which is applied in the field of rail vehicle body detection, can solve the problems of single detection position, relative distance between image acquisition unit and detection point, non-adjustable angle, and inability to completely replace manual inspection, etc.

Pending Publication Date: 2021-04-09
EAST CHINA JIAOTONG UNIVERSITY
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Problems solved by technology

The above-mentioned technical solution can be applied to the detection of rail vehicles in the same way, and combined with 2D and 3D cameras to enhance the information contained in the image, which is equivalent to improving the detection accuracy, but it uses a fixed dete

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Embodiment Construction

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0064] According to an embodiment of the present invention, a method for detecting a rail vehicle body is provided.

[0065] Such as Figure 1-Figure 2 As shown, the rail vehicle body detection method according to the embodiment of the present invention comprises the following steps:

[0066] Step S1, pre-acquiring and processing the image information of the rail vehicle body to obtain an image grayscale histogram;

[0067] Step S2, obtaining a global threshold based on the ac...

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Abstract

The invention, which relates to the technical field of rail detection, discloses a railway vehicle body detection method comprising the following steps: obtaining railway vehicle body image information in advance and carrying out processing to obtain an image graying histogram; obtaining a global threshold value based on the obtained image graying histogram, and calibrating the threshold value by using an Otsu threshold value method; obtaining a vehicle edge contour through a Canny operator; splicing and fusing image contours based on an ICP algorithm; and performing matching analysis based on the obtained image contour splicing fusion and the template image, and taking the result as railway vehicle body detection information. The method achieves the quick, reliable and automatic detection, is higher in measurement precision, is high in automation degree, prevents a faulty train from leaving a factory, can replace or greatly reduce the manual inspection intensity, reduces the detection cost, is high in adaptability, and is wide in application range.

Description

technical field [0001] The invention relates to the technical field of track detection, in particular to a method for detecting a rail vehicle body. Background technique [0002] As my country's rail transit technology innovation is entering a new era, with the continuous maturity of machine vision technology and the continuous improvement of measurement accuracy, more and more automated and semi-automatic testing equipment are put into use for rail vehicle testing; for vehicles from R&D design to quality control Stage automation and intelligent improvement provide a strong guarantee. At the same time, it also reduces the intensity of manual inspection, and further explores to completely replace manual inspection, so as to reduce the labor intensity of technicians and reduce the detection cost. [0003] At present, a better automatic detection method on the market uses RGV trolley / unpowered trolley / AGV trolley combined with 2D high-speed camera to initially automatically ide...

Claims

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Application Information

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IPC IPC(8): G06T7/00G01B11/00G01B11/245G06T5/00G06T5/50G06T7/13G06T7/136
CPCG06T7/001G06T7/13G06T7/136G06T5/50G06T5/002G01B11/002G01B11/245G06T2207/10016G06T2207/20221
Inventor 高雪山肖乾黄敏李卓航程玉琦周前哲朱恩豪李楷文
Owner EAST CHINA JIAOTONG UNIVERSITY
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