Detection of morphology defects in pipeline based on 3D active stereo omnidirectional vision sensor-Reference-Cited by-同舟云学术

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Detection of morphology defects in pipeline based on 3D active stereo omnidirectional vision sensor

Published:2018-04 Issue:4 Volume:12 Page:588-595
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yang Zhongyuan¹,Lu Shaohui²,Wu Ting²,Yuan Gongping²,Tang Yiping²

Affiliation:

1. Zhejiang Institute of CommunicationsNo. 1515 Mogan RoadHangzhouPeople's Republic of China

2. Zhejiang University of TechnologyNo. 288 Liuhe RoadHangzhouPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.0616

Reference21 articles.

1. Sh‐wave emat technique for gas pipeline inspection;Masahiko H.;Nondestruct. Test. Eval. Int.,1999

2. Detection of corrosion in pipeline using pulsed magnetic flux leakage testing;Tang Y.;Comput. Meas. Control,2010

3. Optoelectronic inspection of in‐pipe surfaces;Wang Y.;J. Appl. Opt.,2008

4. Automated diagnosis of sewer pipe defects based on machine learning approaches;Yang M.;Expert Syst. Appl.,2008

5. Measuring and modelling sewer pipes from video;Kannala J.;Mach. Vis. Appl.,2008

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