Weld pool visual sensing without external illumination

Jinchao Liu; Zhun Fan; Soren Ingvor Olsen; Kim Hardam Christensen; Jens Klaestrup Kristensen

doi:10.1109/CASE.2011.6042506

Weld pool visual sensing without external illumination

Jinchao Liu, Zhun Fan, Soren Ingvor Olsen, Kim Hardam Christensen, Jens Klaestrup Kristensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Visual sensing in arc welding has become more and more important, but still remains challenging because of the harsh environment with extremely strong illumination from the arc. This paper presents a low-cost camera-based sensor system, without using external Illumination, but nevertheless able to sense and model the weld pool. Central is a carefully selected optical filtering as well as an active contour-based tracking of the weld pool boundary. The system is able to extract the 2D shape of the weld pool in real time. The reported experiments show the feasibility of this approach.

Original language	English
Title of host publication	IEEE International Conference on Automation Science and Engineering
Publisher	IEEE
Publication date	2011
Pages	145-150
ISBN (Print)	9781457717307
DOIs	https://doi.org/10.1109/CASE.2011.6042506
Publication status	Published - 2011
Event	2011 IEEE International Conference on Automation Science and Engineering - Trieste, Italy Duration: 24 Aug 2011 → 27 Aug 2011 https://ieeexplore.ieee.org/xpl/conhome/6033676/proceeding

Conference

Conference	2011 IEEE International Conference on Automation Science and Engineering
Country/Territory	Italy
City	Trieste
Period	24/08/2011 → 27/08/2011
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6033676/proceeding

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title = "Weld pool visual sensing without external illumination",

abstract = "Visual sensing in arc welding has become more and more important, but still remains challenging because of the harsh environment with extremely strong illumination from the arc. This paper presents a low-cost camera-based sensor system, without using external Illumination, but nevertheless able to sense and model the weld pool. Central is a carefully selected optical filtering as well as an active contour-based tracking of the weld pool boundary. The system is able to extract the 2D shape of the weld pool in real time. The reported experiments show the feasibility of this approach.",

author = "Jinchao Liu and Zhun Fan and Olsen, {Soren Ingvor} and Christensen, {Kim Hardam} and Kristensen, {Jens Klaestrup}",

year = "2011",

doi = "10.1109/CASE.2011.6042506",

language = "English",

isbn = "9781457717307",

pages = "145--150",

booktitle = "IEEE International Conference on Automation Science and Engineering",

publisher = "IEEE",

address = "United States",

note = "2011 IEEE International Conference on Automation Science and Engineering, CASE 2011 ; Conference date: 24-08-2011 Through 27-08-2011",

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T1 - Weld pool visual sensing without external illumination

AU - Liu, Jinchao

AU - Fan, Zhun

AU - Olsen, Soren Ingvor

AU - Christensen, Kim Hardam

AU - Kristensen, Jens Klaestrup

PY - 2011

Y1 - 2011

N2 - Visual sensing in arc welding has become more and more important, but still remains challenging because of the harsh environment with extremely strong illumination from the arc. This paper presents a low-cost camera-based sensor system, without using external Illumination, but nevertheless able to sense and model the weld pool. Central is a carefully selected optical filtering as well as an active contour-based tracking of the weld pool boundary. The system is able to extract the 2D shape of the weld pool in real time. The reported experiments show the feasibility of this approach.

AB - Visual sensing in arc welding has become more and more important, but still remains challenging because of the harsh environment with extremely strong illumination from the arc. This paper presents a low-cost camera-based sensor system, without using external Illumination, but nevertheless able to sense and model the weld pool. Central is a carefully selected optical filtering as well as an active contour-based tracking of the weld pool boundary. The system is able to extract the 2D shape of the weld pool in real time. The reported experiments show the feasibility of this approach.

U2 - 10.1109/CASE.2011.6042506

DO - 10.1109/CASE.2011.6042506

M3 - Article in proceedings

SN - 9781457717307

SP - 145

EP - 150

BT - IEEE International Conference on Automation Science and Engineering

PB - IEEE

T2 - 2011 IEEE International Conference on Automation Science and Engineering

Y2 - 24 August 2011 through 27 August 2011

ER -

Weld pool visual sensing without external illumination

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