Abstract
During the robotic arc welding process, not only are the images taken often unclear, but the features are also not obvious due to the interference of arc, splashing, and smoke. Therefore, it is necessary to take these visual interferences into account when designing the imaging processes and algorithms for welding inspections. The objective of this study was to develop intelligent and cost-effective algorithms for image processing techniques in robotic arc welding procedures using an infrared sensor. A set of image processing algorithms were designed to detect the geometry of bead images by analyzing experimental images obtained from an infrared camera. Pre-processing procedures were required to improve the contrast of these images. After verifying their effectiveness, the proposed algorithms were compared to determine the optimal algorithm for each step in the image-processing procedure. The experimental results indicate a small error and suggest that these algorithms can be employed in the robotic welding process.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
