A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History-Based Adaptive Differential Evolution Optimized Support Vector Machine
To inspect the quality of concrete structures, surface voids or bugholes existing on a concrete surface after the casting process needs to be detected. To improve the productivity of the inspection work, this study develops a hybrid intelligence approach that combines image texture analysis, machine...
Saved in:
| Main Authors: | Nhat-Duc Hoang, Quoc-Lam Nguyen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/4190682 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis
by: Nhat-Duc Hoang, et al.
Published: (2019-01-01) -
Optimizing Construction Project Labor Utilization Using Differential Evolution: A Comparative Study of Mutation Strategies
by: Nhat-Duc Hoang, et al.
Published: (2015-01-01) -
Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms
by: Nhat-Duc Hoang, et al.
Published: (2018-01-01) -
Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach
by: Hoang Nhat-Duc, et al.
Published: (2025-03-01) -
Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach
by: Nhat-Duc Hoang, et al.
Published: (2021-01-01)