Paper
12 February 2001 Adaptive tracking of weld joints using active contour model in arc-welding processes
Jaeseon Kim, Kyoungchul Koh, Hyungsuck Cho
Author Affiliations +
Proceedings Volume 4190, Optomechatronic Systems; (2001) https://doi.org/10.1117/12.417231
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States
Abstract
12 This paper presents a vision processing scheme to automatic weld joint tracking in robotic arc welding process. Particular attention is concentrated on its robustness against various optical disturbances, such as arc glares and weld spatters radiating from the melted weld pool. Underlying the developed vision processing is a kind of model-based pattern searching, which is necessarily accompanied by two separate stages of modeling and tracking. In the modeling stage, a syntactic approach is adopted to identify unknown weld joint structure. The joint profile identified in the modeling stage is used as a starting point for successive tracking of variations in the geometry of weld joint during welding, which is automatically achieved by an active contour model technology following feature- based template matching. The performance of the developed scheme is investigated through a series of practical welding experiments.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jaeseon Kim, Kyoungchul Koh, and Hyungsuck Cho "Adaptive tracking of weld joints using active contour model in arc-welding processes", Proc. SPIE 4190, Optomechatronic Systems, (12 February 2001); https://doi.org/10.1117/12.417231
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Cited by 1 scholarly publication.
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KEYWORDS
Visual process modeling

Image segmentation

Sensors

Automatic tracking

Model-based design

Robotics

Systems modeling

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