Multi-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel

The feature of leaky cable fixture extracted by Local Binary Pattern (LBP) and its variants in high-speed railway tunnel has the defects of lacking description and high dimension. This paper proposes a new operator named Multi-scale Continuous Gradient Local Binary Pattern (MCG-LBP), which can reali...

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Autores principales:	Yunzuo Zhang, Zhouchen Song, Wei Guo
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	MCG-LBP bi-directional triplet dimensionality reduction fault detection leaky cable fixture support vector machines Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/397d559f9c4547be85f0f36cc8e6f861
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id	oai:doaj.org-article:397d559f9c4547be85f0f36cc8e6f861
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spelling	oai:doaj.org-article:397d559f9c4547be85f0f36cc8e6f8612021-11-18T00:09:35ZMulti-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel2169-353610.1109/ACCESS.2021.3124676https://doaj.org/article/397d559f9c4547be85f0f36cc8e6f8612021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9597547/https://doaj.org/toc/2169-3536The feature of leaky cable fixture extracted by Local Binary Pattern (LBP) and its variants in high-speed railway tunnel has the defects of lacking description and high dimension. This paper proposes a new operator named Multi-scale Continuous Gradient Local Binary Pattern (MCG-LBP), which can realize the scale transformation of feature maps and ensure the low dimensionality of descriptors. For MCG-LBP, firstly a bi-directional triplet around the central pixel is presented to indicate the specific direction of gradient in circle neighborhood. Then, an effective dimensionality reduction strategy is introduced to perform successive down-sampling iterations. Finally, the multi-scale joint descriptors are encoded by continuous gradient sequences from different down-sampling maps, and Support Vector Machines is used to classify faulty cable fixtures. The proposed MCG-LBP can elicit a discriminative description through complementary gradient information generated by the combination of different single-scale features. While the low dimensionality of descriptor and no complex parameter to deal with both make it has higher computational efficiency. Experimental results show that the Recall and Precision of MCG-LBP reach 92.6% and 83.5% respectively on cable fixture data set, which is superior to the state-of-the-art methods.Yunzuo ZhangZhouchen SongWei GuoIEEEarticleMCG-LBPbi-directional tripletdimensionality reductionfault detectionleaky cable fixturesupport vector machinesElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 147102-147113 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MCG-LBP bi-directional triplet dimensionality reduction fault detection leaky cable fixture support vector machines Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	MCG-LBP bi-directional triplet dimensionality reduction fault detection leaky cable fixture support vector machines Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yunzuo Zhang Zhouchen Song Wei Guo Multi-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel
description	The feature of leaky cable fixture extracted by Local Binary Pattern (LBP) and its variants in high-speed railway tunnel has the defects of lacking description and high dimension. This paper proposes a new operator named Multi-scale Continuous Gradient Local Binary Pattern (MCG-LBP), which can realize the scale transformation of feature maps and ensure the low dimensionality of descriptors. For MCG-LBP, firstly a bi-directional triplet around the central pixel is presented to indicate the specific direction of gradient in circle neighborhood. Then, an effective dimensionality reduction strategy is introduced to perform successive down-sampling iterations. Finally, the multi-scale joint descriptors are encoded by continuous gradient sequences from different down-sampling maps, and Support Vector Machines is used to classify faulty cable fixtures. The proposed MCG-LBP can elicit a discriminative description through complementary gradient information generated by the combination of different single-scale features. While the low dimensionality of descriptor and no complex parameter to deal with both make it has higher computational efficiency. Experimental results show that the Recall and Precision of MCG-LBP reach 92.6% and 83.5% respectively on cable fixture data set, which is superior to the state-of-the-art methods.
format	article
author	Yunzuo Zhang Zhouchen Song Wei Guo
author_facet	Yunzuo Zhang Zhouchen Song Wei Guo
author_sort	Yunzuo Zhang
title	Multi-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel
title_short	Multi-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel
title_full	Multi-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel
title_fullStr	Multi-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel
title_full_unstemmed	Multi-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel
title_sort	multi-scale continuous gradient local binary pattern for leaky cable fixture detection in high-speed railway tunnel
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/397d559f9c4547be85f0f36cc8e6f861
work_keys_str_mv	AT yunzuozhang multiscalecontinuousgradientlocalbinarypatternforleakycablefixturedetectioninhighspeedrailwaytunnel AT zhouchensong multiscalecontinuousgradientlocalbinarypatternforleakycablefixturedetectioninhighspeedrailwaytunnel AT weiguo multiscalecontinuousgradientlocalbinarypatternforleakycablefixturedetectioninhighspeedrailwaytunnel
_version_	1718425218265907200

Multi-Scale Continuous Gradient Local Binary Pattern for Leaky Cable Fixture Detection in High-Speed Railway Tunnel

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