Using Active Contour Models for Feature Extraction in Camera-Based Seam Tracking of Arc Welding
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Standard
Using Active Contour Models for Feature Extraction in Camera-Based Seam Tracking of Arc Welding. / Liu, Jinchao; Fan, Zhun; Olsen, Søren Ingvor; Christensen, Kim; Krinstensen, Jens.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '09). 2009. p. 5948-5955.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - GEN
T1 - Using Active Contour Models for Feature Extraction in Camera-Based Seam Tracking of Arc Welding
AU - Liu, Jinchao
AU - Fan, Zhun
AU - Olsen, Søren Ingvor
AU - Christensen, Kim
AU - Krinstensen, Jens
PY - 2009
Y1 - 2009
N2 - In the recent decades much research has been performed in order to allow better control of arc welding processes, but the success has been limited, and the vast majority of the industrial structural welding work is therefore still being made manually. Closed-loop and nearly-closed-loop control of the processes requires the extraction of characteristic parameters of the welding groove close to the molten pool, i.e. in an environment dominated by the very intense light emission from the welding arc. The typical industrial solution today is a laser-scanner containing a camera as well as a laser source illuminating the groove by a light curtain and thus allowing details of the groove geometry to be extracted by triangulation. This solution is relatively expensive and must act several centimetres ahead of the molten pool. In addition laser-scanners often show problems when dealing with shiny surfaces. It is highly desirable to extract groove features closer to the arc and thus facilitate for a nearly-closed-loop control situation. On the other hand, for performing seam tracking and nearly-closed-loop control it is not necessary to obtain very detailed information about the molten pool area as long as some inportant features are obtained, e.g. the groove position and gap width. To obtain these features without external illumination, a new image analysis scheme based on active contour models was proposed and verified by experimental results.
AB - In the recent decades much research has been performed in order to allow better control of arc welding processes, but the success has been limited, and the vast majority of the industrial structural welding work is therefore still being made manually. Closed-loop and nearly-closed-loop control of the processes requires the extraction of characteristic parameters of the welding groove close to the molten pool, i.e. in an environment dominated by the very intense light emission from the welding arc. The typical industrial solution today is a laser-scanner containing a camera as well as a laser source illuminating the groove by a light curtain and thus allowing details of the groove geometry to be extracted by triangulation. This solution is relatively expensive and must act several centimetres ahead of the molten pool. In addition laser-scanners often show problems when dealing with shiny surfaces. It is highly desirable to extract groove features closer to the arc and thus facilitate for a nearly-closed-loop control situation. On the other hand, for performing seam tracking and nearly-closed-loop control it is not necessary to obtain very detailed information about the molten pool area as long as some inportant features are obtained, e.g. the groove position and gap width. To obtain these features without external illumination, a new image analysis scheme based on active contour models was proposed and verified by experimental results.
KW - Faculty of Science
KW - Datalogi
KW - Datamatsyn
KW - Svejsning
KW - Billedbehandling
KW - Computer Science
KW - Computer Vision
KW - Welding
KW - computer vision
U2 - 10.1109/IROS.2009.5354390
DO - 10.1109/IROS.2009.5354390
M3 - Article in proceedings
SN - 978-1-4244-3804-4
SP - 5948
EP - 5955
BT - Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '09)
Y2 - 11 October 2009 through 15 October 2009
ER -
ID: 16245944