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VAK Russia
1.2.1 2.9.8 2.3.1

METHOD FOR ASSESSING THE QUALITY OF IMAGES GENERATED BY REMOTE MONITORING DEVICES FOR ROLLING STOCK AND RAILWAY TRACKS Method for Assessing the Quality of Images Generated by Remote Monitoring Devices for Rolling Stock and Railway Tracks

Published in Intellectual Technologies on Transport · Pages 33–40 · Rubric: ARTIFICIAL INTELLIGENCE AND TRANSPORT SYSTEMS
DOI: https://doi.org/10.20295/2413-2527-2025-343-33-40 · EDN: ARHKYA
Received: 25.08.2025 Accepted: 28.08.2025 Published: 25.09.2025
The application of the two–dimensional Walsh-Hadamard transform is considered to evaluate the quality of images generated by remote monitoring devices for rolling stock and railway tracks. Purpose: to analyze the uneven distribution of the pixel spectrum intensity along the diagonal. This will facilitate a quantitative assessment of the degree of linear distortion in images of facilities belonging to “Russian Railways” JSC. Methods: image spectrum analysis by Walsh-Hadamard transformation. Results: the applicability of the proposed method for assessing the severity of linear distortions has been demonstrated. Practical significance: the proposed method can be applied for detecting various types of linear distortions, with the possibility of its subsequent implementation into automatic detection algorithms.
image quality assessment, Walsh-Hadamard transformation, two-dimensional image spectrum, Sobel operator, remote control, rolling stock, railway tracks, defects, diagnostics
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