Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning.
Detecting cracks in asphalt concrete slabs is challenging due to environmental factors like lighting changes, surface reflections, and weather conditions, which affect image quality and crack detection accuracy. This study introduces a novel deep learning-based anomaly model for effective crack dete...
Saved in:
Main Authors: | Kai Hu, Yang Ling, Jie Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0318550 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UTILIZATION OF POLYPROPYLENE IN BITUMINOUS CONCRETE
by: EZEMENIKE CHUKWUKA, et al.
Published: (2021-12-01) -
Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning
by: Qing An, et al.
Published: (2021-01-01) -
Deep Learning-Based Crack Monitoring for Ultra-High Performance Concrete (UHPC)
by: Dongling Wu, et al.
Published: (2022-01-01) -
The Influence of Coffee Husk Ash as a Filler on the Performance of Bituminous Concrete Mix
by: Amare Tilahun Tessema, et al.
Published: (2022-01-01) -
Evaluation of the Properties of Bituminous Concrete Prepared from Brick-Stone Mix Aggregate
by: Dipankar Sarkar, et al.
Published: (2016-01-01)