Application of Digital Image Processing Techniques in Determining the Quality of ARC and MIG Welding of Steel Joints

摘要

Digital Image Processing is an important field of computer science significantly focused on providing solutions to extract patterns and features from the given set of images. Image processing algorithms can very useful and can provide information such as edge detections in the given set of welded images. This technique to identify the edges can play a role in determining the quality of welding and thereby reducing the cost of maintenance. Edge detection algorithms such as Canny, Prewitt and Sobel are very efficient in identifying the spread of edges in the given greyscale welded images. In this research, the edge detections of the given set of greyscale welded images are compared with the edge detections of a quality welding images. The types of welding were considered for the comparison, namely, ARC and MIG welding of steel joints. Based on the results, it was found that samples obtained from the laboratory tests were have a quality of only 25% match in comparison with reference good welds.