COMBINATION OF X-RAY IMAGING AND SPECTRA MEASUREMENTS FOR IMPROVING AUTOMATIC INSPECTION OF ALUMINIUM CAST COMPONENTS

摘要

In this paper we present an application of data fusion to improve the inspection of castings by X-rays. An attenuation spectrum is combined with a radioscopic image through the use of the Dempster-Shafer Evidence theory. X-ray imaging by radioscopy is widely used in castings inspection for automatic defect detection, but the sensitivity to low contrasted defects is rather poor. On the other hand, spectrometry is known to be an accurate method for thickness measurement, but is not actually an imaging tool. A profile extraction method was developed to complement classical image segmentation, in such a way to deliver an information similar to spectrometry. This profile approach, together to a confidence level determination gives good results with respect to image processing only. First results are shown on a relatively thin sample, and for this reason, spectrometry didn't give the expected accuracy. However, the method remains promising for thicker samples.