Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring
Cracks are an important indicator reflecting the safety status of infrastructures. This paper presents an automatic crack detection and classification methodology for subway tunnel safety monitoring. With the application of high-speed complementary metal-oxide-semiconductor (CMOS) industrial cameras...
Main Authors: | Wenyu Zhang, Zhenjiang Zhang, Dapeng Qi, Yun Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/14/10/19307 |
Similar Items
-
Image-Processing-Based Subway Tunnel Crack Detection System
by: Xiaofeng Liu, et al.
Published: (2023-06-01) -
Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging
by: Yue Zhang, et al.
Published: (2023-09-01) -
Accidents in transportation and subway tunnels : construction to operation /
by: Vlasov, S. N., author, et al.
Published: (2001) -
Automatic Detection and Association Analysis of Multiple Surface Defects on Shield Subway Tunnels
by: Ziren Yin, et al.
Published: (2023-08-01) -
Automatic Tunnel Crack Detection Based on U-Net and a Convolutional Neural Network with Alternately Updated Clique
by: Gang Li, et al.
Published: (2020-01-01)