z-logo
open-access-imgOpen Access
Image-based crack recognition of tunnel lining using residual U-Net convolutional neural network
Author(s) -
Shitong Hou,
Zhangchang Ou,
Peng Qin,
Yueze Wang,
Y R Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/861/7/072001
Subject(s) - dice , convolutional neural network , residual , sørensen–dice coefficient , computer science , robustness (evolution) , artificial intelligence , segmentation , intersection (aeronautics) , artificial neural network , pattern recognition (psychology) , pixel , image segmentation , computer vision , algorithm , engineering , mathematics , statistics , biochemistry , chemistry , gene , aerospace engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here