Catenary insulator defect detection based on contour features and gray similarity matching-Reference-Cited by-同舟云学术

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Catenary insulator defect detection based on contour features and gray similarity matching

Published:2020-01 Issue:1 Volume:21 Page:64-73
ISSN:1673-565X
Container-title:Journal of Zhejiang University-SCIENCE A
language:en
Short-container-title:J. Zhejiang Univ. Sci. A

Author:

Tan Ping^ORCID,Li Xu-feng,Xu Jin-mei,Ma Ji-en,Wang Fei-jie,Ding Jin,Fang You-tong,Ning Yong

Funder

National Natural Science Foundation of China

the Zhejiang Provincial Natural Science Foundation of China

the National Key R&D Program of China

the China Scholarship Council

Publisher

Zhejiang University Press

Subject

General Engineering

Link

http://link.springer.com/content/pdf/10.1631/jzus.A1900341.pdf

Reference21 articles.

1. Ai JY, Jin LJ, 2016. Rod porcelain insulator filth state detection of catenary based on ultraviolet image. Transactions of China Electrotechnical Society, 31(10):112–118 (in Chinese). https://doi.org/10.3969/j.issn.1000-6753.2016.10.013

2. Briechle K, Hanebeck U, 2001. Template matching using fast normalized cross correlation. Proceedings of the SPIE 4387, Optical Pattern Recognition XII, p.95–102. https://doi.org/10.1117/12.421129

3. Canny J, 1986. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-8(6):679–698. https://doi.org/10.1109/TPAMI.1986.4767851

4. Chen RP, Chen JM, Wang HL, 2014. Recent research on the track-subgrade of high-speed railways. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 15(12):1034–1038. https://doi.org/10.1631/jzus.A1400342

5. Dang ST, Ke J, Wu WH, et al., 2019. The contamination status anomaly detection of railway insulator based on PCM and texture feature. Insulators and Surge Arresters, (2):197–201 (in Chinese). https://doi.org/10.16188/j.isa.1003-8337.2019.02.034

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