A new analysis method for digital radiograph of turbine blade

Taking a certain model turbine blade as an example, two kinds of techniques and methods, i. e. defect extraction of digital radiograph based on subarea and self-adaptive median filtering and defect extraction of digital radiograph based on curved-surface function and threshold, were introduced. A new method with a combination of mathematical morphologic opening operation with solid vision algorithm was put forward, with which flaws of tested part can be extracted accurately and automatically. Experimental results indicate that the new method is feasible and false detections can be decreased effectively.