An approach to the automatic detection of weld defects in radiography films using digital image processing

Abstract

Oil refinery industry is using large amount of radiographic films of weld defects, requiring human work by technicians to interpretation. This paper presents a method and automated system for determination of weld defect from radiographic films by using the image processing technique. The hardware and software system rapidly and automatically convert the radiographic films into digital images, then analyzes and compares with the digitalized radiographic images database. The probable defects and its type recognized defect are determined. This approach will be significant in developing a professional system for partially replacing technician work in image interpretation, ensuring quality and productivity in welding manufacturing technology.