Track fastener image positioning method based on superpixel node sorting

A track fastener and image positioning technology, which is applied in image analysis, image data processing, computer parts and other directions, can solve the problems of unfastened area positioning, shooting conditions and complex background interference, so as to achieve accurate judgment and save image processing. Effects of overhead, precise location information

Inactive Publication Date: 2019-10-01
SHANGHAI UNIV OF ENG SCI
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Problems solved by technology

[0004] However, within the scope of the existing technology, conventional rail fastener positioning methods have certain limitations: in the process of using image processing technology to locate the fastener area in the rail fastener image, it is often susceptible to interference from shooting conditions and complex backgrounds Therefore, the fastening area in the track fastening image cannot be accurately positioned

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  • Track fastener image positioning method based on superpixel node sorting
  • Track fastener image positioning method based on superpixel node sorting
  • Track fastener image positioning method based on superpixel node sorting

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Embodiment Construction

[0046] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0048] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0049] Such as figure 1 As shown, the rail fastener image positioning method of the present embodiment includes:

[0050] Step 01: Shoot and collect the original image of the rail fa...

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Abstract

The invention relates to a track fastener image positioning method based on superpixel node sorting. The track fastener image positioning method comprises the following steps: 1) shooting and collecting an original image of a track fastener; 2) carrying out image preprocessing and super-pixel segmentation to obtain a track fastener super-pixel segmentation map; 3) constructing a track fastener superpixel undirected graph structure according to the track fastener superpixel segmentation graph; 4) respectively carrying out correlation sorting based on a background scale and a foreground scale onsuper-pixel nodes in the track fastener super-pixel graph structure; and 5) obtaining a track fastener positioning map with outstanding foreground and background inhibition according to the correlation sorting result, and completing accurate positioning of the track fastener area in the image. Compared with the prior art, the method has the advantages of accurate positioning, accurate judgment, interference inhibition and the like.

Description

technical field [0001] The invention relates to the technical field of rail fastener positioning, in particular to a method for positioning rail fastener images based on superpixel node sorting. Background technique [0002] Rail fasteners are the basic equipment of the railway transportation industry, and are the key equipment for fixing the rails on the sleepers to maintain the gauge and prevent the relative movement of the rails and the sleepers. Rail fasteners provide a stable, effective and reliable connection between rails and sleepers, and give full play to their buffering and shock absorption and delaying the accumulation of residual deformation of the track under the vibration caused by the rapid passage of rail trains. Critical infrastructure for safe operation. [0003] At present, with the continuous development of image processing technology and machine vision technology, it is widely used in many engineering fields. In the actual field of track detection, tra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10G06T7/194G06K9/62
CPCG06T7/10G06T7/194G06F18/23
Inventor 李立明孙睿柴晓冬陈兴杰郑树彬
Owner SHANGHAI UNIV OF ENG SCI
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