Welding defects extraction for radiographic images using C-means segmentation method

In Recent years increasing attention is paid to welding defects monitoring in industries. An automatic system to extract and classify the welding defects in radiographic images is a main challenge in industries, because of the miniature welded region. In this paper an automatic method is proposed to extract the various welding defects in radiographic weld images. In the first stage the input radiographic image is pre-processed to enhance the quality of the image. In the second stage the welding region is extracted by using c-means segmentation method. After segmentation different features of the welded region are calculated and the 3-D contour plots are plotted.