DocumentCode :
1403683
Title :
Weld pool edge detection for automated control of welding
Author :
Brzakovic, D. ; Khani, D.T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
Volume :
7
Issue :
3
fYear :
1991
fDate :
6/1/1991 12:00:00 AM
Firstpage :
397
Lastpage :
343
Abstract :
A vision system that determines the edges of the weld pool in sequences of gas-tungsten-arc welding images acquired by a coaxial viewing system is described. The vision system uses a transformation that maps the edge of a weld pool into a vertical line. The weld pool edge is detected in the transform domain by using a directional filter, which retains only intensity changes of interest, and a one-dimensional edge detector. The edge of the weld pool, in the physical domain, is determined using the inverse transformation. The transformation uses parameters that are updated when processing a sequence of images, and are initially determined by analyzing the first image frame in the physical domain
Keywords :
arc welding; computer vision; computerised pattern recognition; 1D edge detector; arc welding; automated control; coaxial viewing system; computer vision; directional filter; weld pool edge detection; Automatic control; Hidden Markov models; Image edge detection; Intelligent robots; Mobile robots; Navigation; Predictive models; Remotely operated vehicles; Vehicle dynamics; Welding;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.88150
Filename :
88150
Link To Document :
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