Research on image Processing technology of Locomotive Rail Surface Damage

Rail surface damage is an important factor affecting the safe and smooth running of locomotive. How to detect the damage quickly and accurately is the research content of this subject. In this paper, the image processing technology is applied to the detection of rail surface image, through the fuzzy...

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Bibliographic Details
Published inIEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC ... ) (Online) Vol. 10; pp. 1701 - 1705
Main Author Fang, Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.06.2022
Subjects
Defect area
Fuzzy enhancement
Image edge detection
Image processing
Mean variance ratio
Rail surface extraction
Rails
Railway accidents
Software algorithms
Surface morphology
Visual effects
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ISSN2693-2865
DOI10.1109/ITAIC54216.2022.9836568

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Summary:Rail surface damage is an important factor affecting the safe and smooth running of locomotive. How to detect the damage quickly and accurately is the research content of this subject. In this paper, the image processing technology is applied to the detection of rail surface image, through the fuzzy enhancement of the image to increase the contrast, improve the visual effect, and then extract the edge of the derailment surface through the gray mean variance ratio, finally using morphological method to detect the rail surface damage. MATLAB software to achieve the algorithm and image display. The research results can be applied to the damage detection of rail surface and have certain practical value.
ISSN:2693-2865
DOI:10.1109/ITAIC54216.2022.9836568