Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure Vessel

According to the characteristics of image defects, this paper integrated use of image preprocessing, image segmentation algorithms, expert systems and other methods, presented a film weld defect identification method for non-destructive testing in the pressure vessel weld defect recognition, and to achieve in MATLAB. This paper also described the expert system's basic principles, structure, establish methods and identification strategy. In the light of the weld defect characteristics from different levels of recognition, through continuous testing to improve the film defect system library and to further enhance the defect recognition rate.