Inspection of welded structure is essential to ensure that the quality of weld must meet the requirements of the design and op

It is necessary to detect suspected defect regions in the radiographic weld images to find the flaw and its causative factors. This requires processing of radiographic images by a suitable approach This paper presents an image processing approach to process incomplete penetration type flaws in radiographic images of the weld specimens considering morphological aspects of the image. In the present approach, radiographic weld image is processed to get the image with good contrast and reduced noise using image enhancement techniques like histogram equalization and noise filtering. This is followed by an effective edge detector such as Canny operator to find the edges of flaws, which are further used to segment the image to fixed the boundaries. The boundaries are fixed using morphological image processing approach i.e. dilating few similar boundaries and eroding some irrelevant boundaries decided on the basis of pixel characteristics . The incomplete penetration type flaws are clearly identifiable in the finally processed image, which is obtained by superimposing the segmented image over the original enhanced image.