DocumentCode :
1695653
Title :
Weld pool visual sensing without external illumination
Author :
Liu, Jinchao ; Fan, Zhun ; Olsen, Søren Ingvor ; Christensen, Kim Hardam ; Kristensen, Jens Klæstrup
fYear :
2011
Firstpage :
145
Lastpage :
150
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 :
arc welding; filtering theory; image sensors; object tracking; production engineering computing; 2D shape extraction; active contour-based tracking; arc welding; low-cost camera-based sensor system; optical filtering; weld pool visual sensing; Active contours; Force; Image edge detection; Machine vision; Real time systems; Visualization; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2011 IEEE Conference on
Conference_Location :
Trieste
ISSN :
2161-8070
Print_ISBN :
978-1-4577-1730-7
Electronic_ISBN :
2161-8070
Type :
conf
DOI :
10.1109/CASE.2011.6042506
Filename :
6042506
Link To Document :
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