Study of vision-based measurement of weld joint shape incorporating the neural network

In this study, a neural network was proposed and implemented for recognizing the laser stripe features from the image plane. A calibration scheme of corresponding image to the world position was also adopted for determining the sectional features of the welding distortion. The feasibility of determining the sectional features of the welding distortions. The feasibility of determining the welding distortion by the proposed vision-based system was demonstrated through the experiments with various types of specimen.