Image Generation and Recognition for Railway Surface Defect Detection

Image Generation and Recognition for Railway Surface Defect Detection

Railway defects can result in substantial economic and human losses. Among all defects, surface defects are the most common and prominent type, and various optical-based non-destructive testing (NDT) methods have been employed to detect them. In NDT, reliable and accurate interpretation of test data...

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Bibliographic Details
Main Authors: Yuwei Xia, Sang Wook Han, Hyock Ju Kwon
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
railway defect detection
visual inspection
convolutional neural network
dataset expansion
Online Access:https://www.mdpi.com/1424-8220/23/10/4793

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