Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms

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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Quoc-Bao Ta, Jeong-Tae Kim
स्वरूप:	लेख
भाषा:	English
प्रकाशित:	MDPI AG 2020-12-01
श्रृंखला:	Sensors
विषय:	deep learning image-based monitoring regional convolutional neural network Hough line transform bolt corrosion bolt-loosening
ऑनलाइन पहुंच:	https://www.mdpi.com/1424-8220/20/23/6888

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