Improving the reliability of NDT inspection through information fusion: applications in X-ray and ultrasound modalities

نویسندگان

  • Ahmad OSMAN
  • Valérie Kaftandjian
  • Ulf Hassler
چکیده

In this contribution we present a classification method based on the evidence theory. The classification method is compared to the state of the art support vector machine classifier on an industrial radioscopic data and 3D CT data of aluminium castings as well as 3D ultrasonic data of composite materials. The reported experimental results reveal the robustness of the proposed method and its advantages as well as disadvantages.

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تاریخ انتشار 2014