Crack detection using fusion features‐based broad learning system and image processing

Y Zhang, KV Yuen - Computer‐Aided Civil and Infrastructure …, 2021 - Wiley Online Library
Deep learning has been widely applied to vision‐based structural damage detection, but its
computational demand is high. To avoid this computational burden, a novel crack detection …

Crack detection using fusion features‐based broad learning system and image processing.

Y Zhang, KV Yuen - Computer-Aided Civil & Infrastructure …, 2021 - search.ebscohost.com
Deep learning has been widely applied to vision‐based structural damage detection, but its
computational demand is high. To avoid this computational burden, a novel crack detection …

Crack detection using fusion features‐based broad learning system and image processing

Y Zhang, KV Yuen - Computer-Aided Civil and Infrastructure Engineering, 2021 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Deep learning has been widely applied to
vision‐based structural damage detection, but its computational demand is high. To avoid …

Crack detection using fusion features-based broad learning system and image processing

Y Zhang, KV Yuen - 2021 - repository.um.edu.mo
Deep learning has been widely applied to vision-based structural damage detection, but its
computational demand is high. To avoid this computational burden, a novel crack detection …

[HTML][HTML] Crack detection using fusion features‐based broad learning system and image processing

Y Zhang, KV Yuen - Computer‐Aided Civil and Infrastructure …, 2021 - dl.acm.org
Deep learning has been widely applied to vision‐based structural damage detection, but its
computational demand is high. To avoid this computational burden, a novel crack detection …

Crack detection using fusion features‐based broad learning system and image processing

Y Zhang, KV Yuen - Computer‐Aided Civil and Infrastructure Engineering, 2021 - infona.pl
Deep learning has been widely applied to vision‐based structural damage detection, but its
computational demand is high. To avoid this computational burden, a novel crack detection …