Deep-Learning-Based Segmentation of Fresh or Young Concrete Sections from Images of Construction Sites

Deep-Learning-Based Segmentation of Fresh or Young Concrete Sections from Images of Construction Sites

The objective of this study is to evaluate the feasibility of deep-learning-based segmentation of the area covered by fresh and young concrete in the images of construction sites. The RGB images of construction sites under various actual situations were used as an input into several types of convolu...

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Detalles Bibliográficos
Autores principales: Woldeamanuel Minwuye Mesfin, Soojin Cho, Jeongmin Lee, Hyeong-Ki Kim, Taehoon Kim
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
concrete
section
construction site
deep learning
convolutional neural network (CNN)
image segmentation
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
Acceso en línea:https://doaj.org/article/dbb90e7b4f8141928b753b35681c22d5
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https://doaj.org/article/dbb90e7b4f8141928b753b35681c22d5

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