Consideration of Automatic Flaw Detection using Radiographic Images by CNN

Abstract

In order to evaluate quality of a steel weld joint, radiographic examination is utilized in addition to ultrasonic examination. The radiographic examination is a method of projecting cavities and foreign materials in the test object onto the film by utilizing the property that the radiation penetrates the test object and exposing film. Since the quality evaluation of the obtained film image is performed by human eyes, it depends largely on the empirical rule， and there is a problem that it takes a lot of time to learn and oversight occurs. In this research, we consider a method to automatically detect flaws from the radiographic image using AI (CNN).