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...
Guardado en:
Autores principales: | Woldeamanuel Minwuye Mesfin, Soojin Cho, Jeongmin Lee, Hyeong-Ki Kim, Taehoon Kim |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/dbb90e7b4f8141928b753b35681c22d5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Experimental Study on the Axial Compression Performance of an Underwater Concrete Pier Strengthened by Self-Stressed Anti-Washout Concrete and Segments
por: Shaofeng Wu, et al.
Publicado: (2021) -
Properties of Concrete Prepared with Silane Coupling Agent-Impregnated Coral Aggregate and Coral Concrete
por: Jinming Liu, et al.
Publicado: (2021) -
Recycled Precast Concrete Kerbs and Paving Blocks, a Technically Viable Option for Footways
por: Andrés Juan-Valdés, et al.
Publicado: (2021) -
Matrix Optimization of Ultra High Performance Concrete for Improving Strength and Durability
por: Julio A. Paredes, et al.
Publicado: (2021) -
Assessment of the Post-Cracking Fatigue Behavior of Steel and Polyolefin Fiber-Reinforced Concrete
por: Alejandro Enfedaque, et al.
Publicado: (2021)