Two Algorithms of Defect Detection about Digital Radiograph Image

Defect detection is necessary before the use of industrial castings. DR (Digital Radiograph) system has a broad application prospect because of high detection efficiency. The CV model is an image segmentation method with high accuracy, but its segmentation result is not perfect in the case of strong edge. As a common image segmentation method, region growing has simple calculation as a result of using the space character of the image. In this paper, the defect detection about DR synthetic color image of railway truck side frame was conducted by CV model and the region growing methods, and segmentation achieved good results.