Anomaly Detection on Railway Track Using Haralick Feature for Color Mapping Co-Occurrence Matrix

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Anomaly Detection on Railway Track Using Haralick Feature for Color Mapping Co-Occurrence Matrix

Surface anomalies on railway tracks pose safety hazards to the operation of high-speed trains. Employing advanced target detection techniques to identify and track anomalies revolutionizes traditional manual detection methods, enhancing detection speed and objectivity. However, the outdoor deploymen...

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Bibliographic Details
Published in:	Proceedings - 2024 4th Asia-Pacific Conference on Communications Technology and Computer Science, ACCTCS 2024
Main Author:	Yang L.; Yang M.; Ghazali O.; Xie J.; Yang S.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202303097&doi=10.1109%2fACCTCS61748.2024.00060&partnerID=40&md5=8f774325b98511c2c1544a719a8cf179

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