Seam Extraction Method Based on Sobel Operator and Greedy Snake Model
With the development of welding automation and intelligence,It′s very important to accurately extract the edge of welding seam for automatic welding quality control.According to the characteristics of MIG welding,an image sensing system of the welding seam was established.Based on a clearer weld pool image,A new method combined Sobel operator and greedy Snake active model to extract the edge of welding seam was presented.The experimental results show that this method can obtain a more accurate seam edge comparing with Sobel operator method.