Weld pool visual sensing without external illumination

Jinchao Liu; Zhun Fan; Søren Ingvor Olsen; Kim Hardam Christensen; Jens Klæstrup Kristensen

doi:10.1109/CASE.2011.6042506

Weld pool visual sensing without external illumination

Jinchao Liu, Zhun Fan, Søren Ingvor Olsen, Kim Hardam Christensen, Jens Klæstrup Kristensen

Department of Computer Science

5 Citations (Scopus)

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	2011 IEEE Conference on Automation Science and Engineering (CASE)
Number of pages	6
Publisher	IEEE
Publication date	2011
Pages	145-150
ISBN (Print)	978-1-4577-1730-7
ISBN (Electronic)	978-1-4577-1731-4
DOIs	https://doi.org/10.1109/CASE.2011.6042506
Publication status	Published - 2011
Event	7th IEEE International Conference on Automation Science and Engineering - Triste, Italy Duration: 24 Aug 2011 → 27 Aug 2011 Conference number: 7

Conference

Conference	7th IEEE International Conference on Automation Science and Engineering
Number	7
Country/Territory	Italy
City	Triste
Period	24/08/2011 → 27/08/2011

Keywords

Faculty of Science

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10.1109/CASE.2011.6042506

Cite this

@inproceedings{a55851c9cf7d4f22a84a823f31c79f28,

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.",

keywords = "Faculty of Science, Computer vision, Image Group, image analysis, Computer Science, Welding, Automation, Control Engineering",

author = "Jinchao Liu and Zhun Fan and Olsen, {S{\o}ren Ingvor} and Christensen, {Kim Hardam} and Kristensen, {Jens Kl{\ae}strup}",

year = "2011",

doi = "10.1109/CASE.2011.6042506",

language = "English",

isbn = "978-1-4577-1730-7 ",

pages = "145--150 ",

booktitle = "2011 IEEE Conference on Automation Science and Engineering (CASE)",

publisher = "IEEE",

note = "7th IEEE International Conference on Automation Science and Engineering, CASE 2011 ; Conference date: 24-08-2011 Through 27-08-2011",

}

TY - GEN

T1 - Weld pool visual sensing without external illumination

AU - Liu, Jinchao

AU - Fan, Zhun

AU - Olsen, Søren Ingvor

AU - Christensen, Kim Hardam

AU - Kristensen, Jens Klæstrup

N1 - Conference code: 7

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.

KW - Faculty of Science

KW - Computer vision

KW - Image Group

KW - image analysis

KW - Computer Science

KW - Welding

KW - Automation

KW - Control Engineering

U2 - 10.1109/CASE.2011.6042506

DO - 10.1109/CASE.2011.6042506

M3 - Article in proceedings

SN - 978-1-4577-1730-7

SP - 145

EP - 150

BT - 2011 IEEE Conference on Automation Science and Engineering (CASE)

PB - IEEE

T2 - 7th IEEE International Conference on Automation Science and Engineering

Y2 - 24 August 2011 through 27 August 2011

ER -

Weld pool visual sensing without external illumination

Abstract

Conference

Keywords

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