An Edge Extraction Algorithm for Weld Pool Based on Component Tree

In order to realize the automation and intelligence of welding process, the visual sensor and image processing technology of weld pool edge feature has become one of the key points. During the course of gas metal arc welding (GMAW), since this kind of welding requires a larger current, it makes the arc very strong and products so many droplets transfer and spatter interference. Therefore it is so difficult to extract the edge of welding pool. A new edge extraction algorithm based on component tree is proposed in the paper. It can realize the image segmentation adaptively using local features, retain the useful edge effectively and remove the false edge and noise as well. The experiments show that this algorithm can get more accurate edge information