NDLI: Welding seam defect detection for canisters based on computer vision

Content Provider	IEEE Xplore Digital Library
Author	Zhenjie Shen Jun Sun
Copyright Year	2013
Description	Author affiliation: Sch. of Internet of Things, Jiangnan Univ., Wuxi, China (Zhenjie Shen; Jun Sun)
Abstract	This paper proposed two novel method of real-time online detection of welding seam defects for canisters based on computer vision. In the proposed approaches, the region of welding seam is aligned after a preprocessing procedure to the acquired images. The first method is named as column gray-level accumulation inspection (CAI). In this method, an original curve is shaped by implementing the accumulating operation, followed by being exerted the mean value smoothing operation. Then a modified first difference method is used for the curve in order to segment the defects of the image of welding seam. The second method, named as frame difference testing (FDT), is also proposed for defect detecting. Finally, an information fusion approach based on D-S evidence theory that combines the CAI and FDT methods is used to reduce the rate of false alarm and improves the reliability of defect detection. Experimental results show that the proposed method can detect the welding seam defects with 90 percent accuracy and it can meet the requirement of real-time on-line continuous detection.
Sponsorship	IEEE Eng.Med. Biol. Soc.
Starting Page	788
Ending Page	793
File Size	319224
Page Count	6
File Format	PDF
e-ISBN	9781479927647
DOI	10.1109/CISP.2013.6745272
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Computer aided instruction Uncertainty Shape Welding Image processing welding seam gray level curve Educational institutions DS evidence theory machine vision
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Image Processing of Welding Seam Based on Single-stripe Laser Vision System

Welding defect detection based on local image enhancement

Weld seam detection using computer vision for robotic Arc Welding

Approaches to low level image processing for vision guided seam tracking systems

Similarity-based approach to earthenware reconstruction

Weld defect detection based on Gaussian curve

Image processing algorithm of weld seam based on crawling robot By Binocular Vision

Seam carving based on improved line detection

Detecting linear features in weld seam images based on beamlet transform

Welding seam defect detection for canisters based on computer vision

Similar Documents

Image Processing of Welding Seam Based on Single-stripe Laser Vision System

Welding defect detection based on local image enhancement

Weld seam detection using computer vision for robotic Arc Welding

Approaches to low level image processing for vision guided seam tracking systems

Similarity-based approach to earthenware reconstruction

Weld defect detection based on Gaussian curve

Image processing algorithm of weld seam based on crawling robot By Binocular Vision

Seam carving based on improved line detection

Detecting linear features in weld seam images based on beamlet transform

Welding seam defect detection for canisters based on computer vision