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Research on track fastener positioning method based on local unidirectional template matching.

Liang Li¹, Zhaomin Lv¹, Xingjie Chen¹

¹School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai, China.

Science Progress

|June 18, 2021

Summary

This study introduces a new fastener positioning method, local unidirectional template matching (LUTM), to improve accuracy in railway track images. LUTM effectively overcomes limitations of existing pixel statistics and template matching methods for precise fastener location.

Keywords:

Fastener positioning LUTM pixel statistics template matching

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Area of Science:

Computer Vision
Image Processing
Railway Engineering

Background:

Existing fastener positioning methods, such as pixel statistics (PS) and template matching (TM), suffer from low accuracy due to complex track backgrounds and difficulties in image segmentation.
The PS method struggles with determining image segmentation thresholds in complex track environments.
The TM method's global search is susceptible to background interference, reducing fastener locating accuracy.

Purpose of the Study:

To propose a novel and accurate fastener positioning method for railway tracks.
To address the limitations of existing pixel statistics and template matching techniques.
To develop a method effective for both ballastless and ballasted track types.

Main Methods:

A hybrid approach, local unidirectional template matching (LUTM), is proposed, combining PS and TM methods.
Rail positioning is achieved using the PS method based on grayscale vertical projection.
A 1-shaped rail image is generated, and a symmetrical fastener template is pre-processed before a top-to-bottom search along the rail to calculate correlation for positioning.

Main Results:

The proposed LUTM method effectively overcomes the limitations of traditional PS and TM methods in complex track backgrounds.
Accurate fastener positioning is achieved through a unidirectional search and correlation calculation.
The method demonstrates efficacy for both ballastless and ballasted track systems.

Conclusions:

The local unidirectional template matching (LUTM) method provides an effective solution for accurate fastener positioning in railway track inspection.
This hybrid approach enhances robustness against complex backgrounds, improving overall locating accuracy.
The developed method is suitable for diverse railway track infrastructures.