A Study on Surface Anomaly Detection for Metro Vehicle Underbody Parts Based on 3D Point Cloud

The surface anomaly detection of train parts is one of the key technologies to ensure the safe operation of a metro system. Its core often lies in image processing. However, some anomalies do not exhibit significant changes in color, shape, and texture features, making detection difficult on 2D imag...

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Bibliographic Details
Main Authors: PENG Liantie, LI Chen, XIONG Minjun, YAN Jiayun, CUI Xiaoyang, LIU Leixinyuan
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2023-10-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.05.015
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