Automatic Identification and Location of Tunnel Lining Cracks
The lining crack is common for the tunnel in the stage of operation, which has seriously influenced the service life and safety of tunnel engineering. It is a new trend to use computer vision to detect tunnel cracks over the past few years in China and foreign countries. By image processing technolo...
Saved in:
Main Authors: | Pengyu Wang, Shuhong Wang, Alipujiang Jierula |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/8846442 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study on the Correlation of Vibration Properties and Crack Index in the Health Assessment of Tunnel Lining
by: Xuezhen Wu, et al.
Published: (2017-01-01) -
Reliability Evaluation of Water-Rich Loess Tunnel with Lining Crack Based on Extension Theory
by: Xiaohui Xue, et al.
Published: (2019-01-01) -
CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer
by: Kai Liu, et al.
Published: (2025-01-01) -
Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks
by: Juncheng Guo, et al.
Published: (2022-01-01) -
Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning
by: Qing An, et al.
Published: (2021-01-01)