TCI-Net: Structural Feature Enhancement and Multi-Level Constrained Network for Reliable Thin Crack Identification on Concrete Surfaces
Accurately identifying thin cracks in concrete surfaces is a key technology for the automated maintenance of structures, with widespread applications in intelligent inspection tasks such as road, bridge, and building façade inspection. Existing crack identification methods, based on encod...
Saved in:
| Main Authors: | Shiming Li, Fengtao Yan, Zhijie Li, Qingfeng Hu, Shiqian Xu, Shilian Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10950368/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Accelerating multi-objective optimization of concrete thin shell structures using graph-constrained GANs and NSGA-II
by: Zhichun Fang, et al.
Published: (2025-05-01) -
Comparison of Directional and Diffused Lighting for Pixel-Level Segmentation of Concrete Cracks
by: Hamish Dow, et al.
Published: (2025-05-01) -
Developmental delay in a resource-constrained environment: Screening, surveillance and diagnostic assessment
by: Vasantha Govender, et al.
Published: (2021-05-01) -
Research on Tunnel Crack Identification Localization and Segmentation Method Based on Improved YOLOX and UNETR++
by: Wei Sun, et al.
Published: (2025-05-01) -
Crack paths in soft thin sheets
by: Roberto Brighenti, et al.
Published: (2019-02-01)