Segmentation of Natural Fine Aggregates in Micro-CT Microstructures of Recycled Aggregates Using Unet-VGG16
Author:
Affiliation:
1. Graduate Student, Department of Civil and Environmental Engineering, Yonsei University, Seoul, 03722, Korea
2. Postdoctoral Researcher, Department of Civil and Environmental Engineering, Yonsei University, Seoul, 03722, Korea
Publisher
Computational Structural Engineering Institute of Korea
Link
https://www.jcoseik.or.kr/articles/pdf/doi/10.7734/COSEIK.2024.37.2.143.pdf
Reference26 articles.
1. A generalized model for the conversion from CT numbers to linear attenuation coefficients
2. An evaluation of the recycled aggregate characteristics and the recycled aggregate concrete mechanical properties
3. Scanning electron microscopy (SEM) image segmentation for microstructure analysis of concrete using U-net convolutional neural network
4. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
5. Semantic segmentation for partially occluded apple trees based on deep learning
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