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Image processing-based electrified railway catenary dropper detection method

A technology for electrified railways and detection methods, applied in image data processing, image enhancement, image analysis and other directions, can solve the problems of poor recognition, slow detection speed, inability to adapt to various weather and environmental conditions, etc. Detect accurate effects

Inactive Publication Date: 2018-07-06
HUNAN HUAHONG RAILWAY HIGH TECH DEV CO LTD
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Problems solved by technology

[0004] The purpose of the present invention is to provide an electrified railway catenary suspension system based on image processing, aiming at the disadvantages of poor identification degree, inability to adapt to various weather and environmental conditions, and slow detection speed of the suspension string detection method on the existing high-speed detection vehicle Detection method, the detection method comprehensively uses Gamma transformation, local adaptive binarization, blob analysis, hough transformation, affine transformation, projection method, which makes the hanging string detection highly recognizable and fast, and can be applied to various detection conditions

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  • Image processing-based electrified railway catenary dropper detection method
  • Image processing-based electrified railway catenary dropper detection method
  • Image processing-based electrified railway catenary dropper detection method

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Embodiment

[0033] The present invention is an image processing-based detection method for catenary suspension strings of electrified railways. The detection method adopts the following steps:

[0034] (1) Input the captured picture, process the captured picture into a 1280X400 grayscale picture, and scale it down to 1 / 3 of the original picture;

[0035] (2), carry out Gamma transformation, carry out grayscale correction to the reduced picture with Gamma transformation, the correction value of Gamma transformation is 0.5, makes the lightness and darkness of picture meet processing requirements;

[0036] (3), binarization processing, using local adaptive threshold segmentation, using the offset value of the local average value as the threshold segmentation point, the local size in the binarization is 25, the offset value is -10, and the Gamma The converted image is binarized to avoid the influence of noise on the image when the pixels are low;

[0037] (4), hough transform, first determin...

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Abstract

The invention provides an image processing-based electrified railway catenary dropper detection method. The detection method includes the following steps of: (1) inputting a photographed picture: thephotographed picture is processed into a 1280*400 grayscale picture, and the size of the 1280*400 grayscale picture is scaled down to 1 / 9 of the size of the original image; (2) performing Gamma transformation: grayscale correction is performed on the scaled-down picture through adopting the Gamma transformation, so that the brightness of the picture can meet processing requirements; (3) performingbinarization processing; (4) performing hough transformation; (5) performing tilt correction; (6) performing vertical projection; and (7) performing width analysis. According to the detection method,the Gamma transformation, local adaptive binarization, blob analysis, hough transformation, affine transformation, and projection method are comprehensively used, and therefore, dropper detection hashigh recognition performance and high speed, and can be applied to various detection conditions.

Description

technical field [0001] The invention relates to a detection device, in particular to an image processing-based, high-degree-of-recognition, fast-speed detection method for catenary suspension strings of electrified railways. Background technique [0002] With the rapid development of domestic railways, the safe operation of railways has become an increasingly important step. At present, there are potential safety hazards of broken wires, broken strands, and bulges in the long-term operation of the overall hanging strings for railway catenary. How to find out efficiently and accurately The defect of hanging string is of great significance, and the accuracy of shooting of hanging string is the most critical step. The triggering process of the hanging string has extremely high requirements on processing speed, and there is no detection method based on image processing on the high-speed inspection vehicle at present. [0003] The existing technical solutions mainly use the lase...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/42G06K9/46G06T5/00G06T7/11G06T7/136G01N21/88G01N21/95
CPCG06T7/11G06T7/136G01N21/8851G01N21/95G01N2021/8887G06V20/38G06V10/32G06V10/507G06T5/90
Inventor 刘信风唐小林吴涛
Owner HUNAN HUAHONG RAILWAY HIGH TECH DEV CO LTD
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