수직 GMA 용접부에서 화상처리를 위한 추출 알고리즘에 대한 연구
Abstract
A welding monitoring system is indispensable for ensuring high-quality weldments in the vertical gas metal arc (GMA) process, and techniques for analyzing the arc characteristics by extracting welding arc lines from the welds are required. In this study, we have developed intelligent and effective algorithms for image processing in GMA welding based on thermal high-speed cameras. The proposed algorithms were verified and compared, to obtain the optimal one for each image-processing step. Finally, the validity of the proposed algorithms was examined using welding arc line images obtained under different welding environments. The results proved that the performance of the proposed algorithm was excellent in eliminating variable noise and extracting the feature points and centerline for vertical GMA welding, and can be employed for general industrial applications.
Keywords:
Vertical GMA welding, Welding arc, Image processing, Binarization, Feature points dectctionReferences
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