Rail Surface Defect Detection Based on Image Enhancement and Improved YOLOX

Rail Surface Defect Detection Based on Image Enhancement and Improved YOLOX

During the long and high-intensity railway use, all kinds of defects emerge, which often produce light to moderate damage on the surface, which adversely affects the stable operation of trains and even endangers the safety of travel. Currently, models for detecting rail surface defects are ineffecti...

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Bibliographic Details
Main Authors: Chunguang Zhang, Donglin Xu, Lifang Zhang, Wu Deng
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Electronics
Subjects:
image processing
rail surface defects
image enhancement
YOLOX
Online Access:https://www.mdpi.com/2079-9292/12/12/2672

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