Interest of data fusion for improvement of classification in X-ray inspection

Dempster-Shafer (DS) evidence theory is developed as an attempt to overcome the limitation of conventional probability theory by handling uncertain, imprecise and incomplete information. In this paper we present a classification system based on this fusion theory. The performance of this system is evaluated on 2D and 3D X-ray data. Obtained results are very promising and encourage us to use this system in other applications, namely for ultrasound data classification.