Intelligent extraction of Micro-CT fissures in coal based on deep learning and its application

To address the challenges of fracture recognition in the CT scanning images of coal or rock, particularly the interference of gangue and the recognition of fractures at different scales, proposed and implemented a network model for coal-rock fracture extraction based on deep learning (MCSN). Accordi...

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Bibliographic Details

Published in:	Meitan xuebao
Main Authors:	Dengke WANG, Yu FANG, Jianping WEI, Hongtu ZHANG, Lizhen ZHAO, Longhang WANG, Yuandi XIA, Lu LI, Shaopu WANG, Qiang ZHANG, Haihui REN
Format:	Article
Language:	Chinese
Published:	Editorial Office of Journal of China Coal Society 2024-08-01
Subjects:	crack identification and extraction ct scanning deep learning convolutional neural networks dilated convolution
Online Access:	http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2023.0992