Radiographic inspection is one of the most important non-destructive inspection methods for aircraft wing spar inspection. Traditionally, radiographic inspection is time and manpower consuming. In addition, human inspection of cracks and damage based on film radiography is very subjective, inconsistent and sometimes biased. To improve the speed and efficiency of radiographic inspection, digital X-ray systems are gaining popularity over traditional film-based X-ray. Digital radiography has emerged as a leading technology for aircraft inspection. Therefore, it is desirable to develop a computer-aided system to assist in the interpretation of digital radiographic images to increase the objectivity, accuracy and efficiency of radiographic interpretation. In this paper, a crack detection algorithm using region of interest (ROI) minimization, thresholding and edge detection techniques is developed for radiographic inspection of an aircraft wing spar radiographic inspection.


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    Title :

    Crack detection using image processing techniques for aircreft wing spar radiography inspection


    Additional title:

    Rissnachweis mittels Bildverarbeitungstechnik für Flugzeugflügelholme durch Radiographie


    Contributors:


    Publication date :

    2012


    Size :

    6 Seiten, 12 Bilder, 2 Tabellen, 13 Quellen


    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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