We describe a library of image enhancement and understanding algorithms developed to enhance and recognize surface defects from remote live imagery of an aircraft surface. Also described are the supporting mobile robot platform that generates the remote stereoscopic imagery and the inspection console containing a graphical user interface, through which the inspector accesses the live imagery for remote inspection. We will discuss initial results of the remote imaging process and the image processing library, and speculate on their future application in aircraft inspection.


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    Titel :

    Image enhancement and understanding for remote visual inspection of aircraft surface


    Beteiligte:
    Gunatilake, Priyan (Autor:in) / Siegel, Mel (Autor:in) / Jordan, Angel G. (Autor:in) / Podnar, Gregg W. (Autor:in)

    Kongress:

    Nondestructive Evaluation of Aging Aircraft, Airports, and Aerospace Hardware ; 1996 ; Scottsdale,AZ,United States


    Erschienen in:

    Erscheinungsdatum :

    1996-11-14





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Image understanding algorithms for remote visual inspection of aircraft surfaces

    Gunatilake, Priyan / Siegel, Mel / Jordan, Angel G. et al. | SPIE | 1997



    Remote Visual Inspection System

    J. E. De Castra | NTIS | 1970


    Image enhancement for radiographic non-destructive inspection of the aircraft

    Wang, X. / Wong, B.S. / Tui, C.G. et al. | Tema Archiv | 2006