Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image based method for identifying railway overhead-contact system bolt support identifying information

A recognition method and a technology for identifying information, applied in the field of computer vision, to achieve the effect of reducing the number of images and improving work efficiency

Inactive Publication Date: 2015-07-08
SOUTHWEST JIAOTONG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is the automatic identification of the pole number and the kilometer mark in the inspection video image. This technology is the basis for realizing the automatic retrieval of the video image of the railway catenary pole and column, and can be used to establish or update the daily inspection collection image. Information management files can effectively help inspectors to quickly locate specific poles, reduce the workload of manual interpretation and improve work efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image based method for identifying railway overhead-contact system bolt support identifying information
  • Image based method for identifying railway overhead-contact system bolt support identifying information
  • Image based method for identifying railway overhead-contact system bolt support identifying information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] For the convenience of describing more clearly the details of the present invention, the main steps of the present invention are described in detail as follows:

[0019] Step 1: Coarse positioning of the pole. The two frames of image I in the video sequence t (x, y) and I t-Δ (x, y) perform absolute value difference to get the difference image D t (x, y), where Δ∈z, Δ≥1 is the preset image motion difference frame interval. Then use a vertically structured collation difference image D t (x, y) for morphological operations to filter out vertically shorter regions. The image after the morphological operation is projected in the horizontal direction, and the peak area of ​​the projection curve is statistically calculated by ΔW width. This peak area is the area R1 of the rough positioning of the pole.

[0020] Step 2: Fine positioning of the pole. Extract the R1 area of ​​the original image and perform denoising, and binarize the denoised image to obtain a binary image...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an image based method for identifying railway overhead-contact system bolt support identifying information. According to the method, a digital image processing method is used for automatically identifying bolt support numbers and kilometer posts in railway overhead-contact system touring images. The method comprises the steps of 1) conducting coarse positioning on bolt supports; 2) conducting fine positioning on bolt supports; 3) conducting bolt support number detection and digital dividing; 4) conducting kilometer post detection and digital dividing; and 5) conducting offline training and online identifying on bolt support numbers and kilometer post numbers. The method can efficiently and automatically identify bolt support numbers and kilometer posts of a railway overhead-contact system, is applicable to routing inspection of overhead-contact systems of high-speed railways and conventional railways, can effectively help inspectors to quickly position specific bolt supports, can reduce the number of images which are required to be interpreted manually and can improve the working efficiency.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to an image-based catenary pillar positioning, pole number detection and recognition, and a kilometer mark detection and recognition method. Background technique [0002] The railway catenary is a special line erected for the power supply of trains. As of the end of December 2010, the mileage of high-speed railways operating at a speed of more than 200 kilometers per hour in China has reached 8,358 kilometers, and the mileage of high-speed passenger dedicated lines and intercity railways under construction and soon to be constructed has reached 17,000 kilometers. According to China's medium and long-term railway network planning plan, by 2012, China will have built 42 high-speed passenger dedicated lines, and basically completed a national rapid passenger transport network with "four vertical and four horizontal" as the skeleton, with a total mileage of 13,000 kilometers; ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/54G06K9/62
Inventor 陈俊周彭小江彭强袁萍
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com