Quality improvement of digitized radiographs by filtering technique development based on morphological transformations

Radiographic inspection is the most appreciated technique among the other non-destructive testing methods due to producing unique finger print record as the film. Converting of radiographs to a digital format and further digital image processing is the best method of enhancing the image quality and assisting the interpreter on his evaluation. In this research, different algorithms were used for image enhancement and radiograph interpretation in Matlab environment. A graphical user interface (GUI) was created for implementation of different algorithms. Both spatial and frequency (wavelet) domains techniques were used for image enhancement. Results showed that the defect recognition probability can be increased effectively in both domains. However it was included that better results can be achieved using a supervised spatial technique based on morphological transformation (top-hat and bottom-hat transforms).