Development of digital techniques to classify aircraft from visual images has been done using moment invariants of the aircraft silhouette. Application of these techniques requires a clear silhouette and is often impossible to apply to images which contain blurring or background clutter. This memorandum describes digital image processing techniques which will allow the extraction of representative silhouettes from noisey images. These techniques include edge detection and frame averaging and are applied to visual images with background clutter and blurring due to sensor jitter. Application to FLIR images is also presented.


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    Title :

    Digital Processing of Aircraft Images to Extract Silhouettes


    Contributors:
    G. Gardner (author) / J. Mendelsohn (author) / M. Wohlers (author)

    Publication date :

    1977


    Size :

    54 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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