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...

詳細記述

書誌詳細
主要な著者: Quoc-Bao Ta, Jeong-Tae Kim
フォーマット: 論文
言語:English
出版事項: MDPI AG 2020-12-01
シリーズ:Sensors
主題:
オンライン・アクセス:https://www.mdpi.com/1424-8220/20/23/6888