Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms
In this study, a regional convolutional neural network (RCNN)-based deep learning and Hough line transform (HLT) algorithm are applied to monitor corroded and loosened bolts in steel structures. The monitoring goals are to detect rusted bolts distinguished from non-corroded ones and also to estimate...
| Autori principali: | , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
MDPI AG
2020-12-01
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| Serie: | Sensors |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1424-8220/20/23/6888 |