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Improving the Reliability of NDT Inspection through Information Fusion Applications in X-Ray and Ultrasound Modalities

: Osman, Ahmed; Kaftandjian, Valérie; Hassler, Ulf

Volltext urn:nbn:de:0011-n-3135004 (258 KByte PDF)
MD5 Fingerprint: e0ff46d4214f173a3dba3b5dbbc5e950
Erstellt am: 19.11.2014

Prevorovsky, Zdenek ; European Federation for Non-Destructive Testing -EFNDT-:
11th European Conference on Nondestructive Testing, ECNDT 2014. CD-ROM : October 6-10, 2014, Prague, Czech Republic; Conference proceedings
Brno: Brno University of Technology, 2014
ISBN: 978-80-214-5018-9
Beitrag 419
European Conference on Nondestructive Testing (ECNDT) <11, 2014, Prague>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IZFP ()
Fraunhofer IIS ()
x-ray; computed tomography; ultrasound; sampling phased array; aluminium casting; CFRP; fusion theory; defects classification

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.