Edge detection of Friction Stir Welded Joints by using Fourier Transformation

Abstract

Friction Stir Welding process often results good quality weld joints in comparison to the weld joint fabricated by the conventional welding process. But there are chances of formation of various defects if the input parameters are not selected properly. In our case study, we have constructed an image based defect recognition system by using Fourier transformation method. Five types of filters i.e. Ideal Filter, Butterworth Filter, Low pass Filter, Gaussian Filter and High Pass Filter were used. The results showed that the high pass filter has more capability to detect the edges in comparison to other four filters. It was also observed that Ideal filter has a lot of distortions when compared to the Gaussian Filter and Butterworth Filter.