This paper presents an automatic X-ray image processing system for fastener hole radial and circular crack detection. A robot guided X-ray imaging system equipped with a digital detector is employed to take high resolution reference images of fastener holes of various shapes, thicknesses and in different locations of an aircraft wing. Learning module of the system is activated to train the system with knowledge of hole shapes, segmentation thresholds, grey level distributions of holes and backgrounds as well as hole pitches. Based on this knowledge, the system is able to segment fastener holes of unknown incoming images with localized thresholds, maximizing the shape similarity of the detected holes. Blob analysis is then applied to derive hole gravity and boundary chain code. From the gravity point of each hole, radial and circular scanning lines (arcs) are calculated to find subpixel transitions (edges, which are potentially crack pixels) in the neighborhood of the hole. Transition (edge) polarity and width are used to filter out unwanted disturbances. Finally crack filtering helps removing noise and highlighting the genuine cracks. The effectiveness of the system is demonstrated by processing real aircraft wing images. We are able to achieve a processing speed of 300ms per 1024 x 1024 X-ray image (Intel Dual Core PC 2.0 GHz).


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    Titel :

    Automatic X-ray crack inspection for aircraft wing fastener holes


    Weitere Titelangaben:

    Automatische Röntgenrissprüfung zur Prüfung von Befestigungslöchern an Flugzeugflügeln


    Beteiligte:
    Xu, J. (Autor:in) / Liu, T. (Autor:in) / Yin, X.M. (Autor:in) / Wong, B.S. (Autor:in) / Hassan, Syahrom B. (Autor:in)


    Erscheinungsdatum :

    2010


    Format / Umfang :

    8 Seiten, 9 Bilder, 8 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch





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