NDLI: Automatic detection of the interiorly welded joints of pipelines from video for remote visual inspector

Content Provider	IEEE Xplore Digital Library
Author	Qiaosheng Feng Yunqiong Wang Yaping Zhang Shaojie Shi
Copyright Year	2014
Description	Author affiliation: Kunming Xinhui Inspection Ltd. Co., Kunming, China (Shaojie Shi) \|\| Sch. of Inf. Sci. & Technol., Yunnan Normal Univ., Kunming, China (Qiaosheng Feng; Yunqiong Wang; Yaping Zhang)
Abstract	For sake of reliability, remote visual inspections of the quality of the interiorly welded joints of the city pipelines are still performed in cities such as Kunming of China from the videos which are captured and wirelessly transmitted by a small pipeline vehicle when the pipeline construction project undergoes the acceptance-checking. It is tedious and tiring for the inspector to visually finding out the welded joints from the videos continuously captured and wirelessly transmitted by the pipeline vehicle. In this paper, we propose a method for automatically detecting the interiorly welded joints to reduce observing load of the inspector. Our method consists of filtering frames that possibly have no the welded joint contours, filtering the horizontal band electromagnetic noises that cannot be filtered with conventional noise filters, detecting the contour of the welded circular joint by accelerated Hough transform and estimation the orientation angle of the joint section of pipeline relative to the moving direction of the vehicle. Experiments show that our method is effective and satisfying real-time requirement with respect to the moving velocity of the vehicle and the time interval of capturing and transmitting a frame.
Starting Page	2001
Ending Page	2005
File Size	934875
Page Count	5
File Format	PDF
ISBN	9781479939787
e-ISBN	9781479939794
DOI	10.1109/ICMA.2014.6886010
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Joints Pipelines Welding Inspection Filtering Image edge detection Vehicles Automatic detection Pipeline Interiorly welded joints Digital video
Content Type	Text
Resource Type	Article

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