Deep-Learning-Based Bughole Detection for Concrete Surface Image
Bugholes are surface imperfections that appear as small pits and craters on concrete surface after the casting process. The traditional measurement methods are carried out by in situ manual inspection, and the detection process is time-consuming and difficult. This paper proposed a deep-learning-bas...
Saved in:
Main Authors: | Gang Yao, Fujia Wei, Yang Yang, Yujia Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/8582963 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning.
by: Kai Hu, et al.
Published: (2025-01-01) -
Advanced Defect Detection on Curved Aeronautical Surfaces Through Infrared Imaging and Deep Learning
by: Leith Bounenni, et al.
Published: (2024-12-01) -
Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model
by: Lin Wang
Published: (2023-07-01) -
Research progress of deep learning-based object detection of optical remote sensing image
by: Yurong LIAO, et al.
Published: (2022-05-01) -
A survey of image object detection algorithm based on deep learning
by: Tingting ZHANG, et al.
Published: (2020-07-01)