In this study, an image processing algorithm was developed to increase readability of the images of specific parts of a KTX train acquired by using a mobile digital radiographic testing device in a situation where a running train is stopped. The image processing algorithm was realized by using a Visual C++ development tool.The algorithm developed in this study allows to select an interested region in the acquired images when the interested region is suspected to cause a problem, and applies a thinning process based Sobel operators to the selected region. The experimental results show that the readability of defect parts that are not visible to naked eyes was increased through edge detector. Application of the algorithm developed in this study may help to accurately read non-destructive inspection images.
▸Keyword : Non-destructive test, Image processing, Algorithms, Sobel operator I . In t r o duct i o nDue to the economic development and enhanced industrialization, Korea's high precision industry is rapidly growing. A representative example of Korea's high precision industry is the Gyeongbu KTX railroad which has been operated for about 10 years as well as the Honam KTX railroad which has started to be operated from 2015, both of them are considered as a collection of high precision instruments. Therefore, safe operation of high precision instruments is necessary, and the demand for non-destructive inspection will continuously increase as continued inspection is required to seek safety.