Cargando…
Tunnel Crack Detection Method and Crack Image Processing Algorithm Based on Improved Retinex and Deep Learning
Tunnel cracks are the main factors that cause damage and collapse of tunnel structures. How to detect tunnel cracks efficiently and avoid safety accidents caused by tunnel cracks effectively is a research hotspot at present. In order to meet the need for efficient detection of tunnel cracks, the tun...
Autores principales: | Wu, Jie, Zhang, Xiaoqian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674256/ https://www.ncbi.nlm.nih.gov/pubmed/38005528 http://dx.doi.org/10.3390/s23229140 |
Ejemplares similares
-
Image-Processing-Based Subway Tunnel Crack Detection System
por: Liu, Xiaofeng, et al.
Publicado: (2023) -
Research on tire crack detection using image deep learning method
por: Lin, Shih-Lin
Publicado: (2023) -
Fast Detection of Missing Thin Propagating Cracks during Deep-Learning-Based Concrete Crack/Non-Crack Classification
por: Kolappan Geetha, Ganesh, et al.
Publicado: (2023) -
Crack detection for concrete bridges with imaged based deep learning
por: Wan, Chunfeng, et al.
Publicado: (2022) -
Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring
por: Zhang, Wenyu, et al.
Publicado: (2014)