Non Destructive Testing For Detection abnormal Object in The X-Ray Images

The clarification of weaknesses or defects detection in radiographs image is very important especially in medical science and non-destructive testing centers. The pressing need appears to develop the capabilities that serve image processing in several aspects to achieve the desired results and obtain useful information as possible from images. Therefore, it is very important to know the appropriate methods for image processing, especially with poor context radiographs images to improve their clarity and facilitate the interpretation process. In addition to providing important visual information that difficulty of obtaining from its sources noise-free. This research aims to detect non- normal objects that exist in the X-ray image efficiently through the adoption of digital image processing methods. By using the median filter addition to the morphological processes and obtaining satisfactory results. Where the accuracy of the proposed model reached 86.25 and the proposed model was applied to 80 casting images.