A pipe-lined algorithm and parallel architecture is under development for real time detection of sparse small objects in images. Monochromatic images from an airborne active infrared scanner, images from a low-altitude aircraft-mounted multispectral scanner, and passive infrared imagery obtained from cameras mounted on a ground vehicle are the image types intended for the application of this system to the detection of minefields. The paper briefly describes the characteristics of these three different kinds of image sensors and the operating environments. The general image processing system architecture and the functions of each of the components are also presented. The feature selection and algorithm adaptations for each of the image classes are described. Preliminary results obtained from an experimental system consisting of a small transputer network and array processors are discussed.


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    Title :

    Pipe-lined algorithm and parallel architecture for real-time detection of sparse small objects in images


    Contributors:
    Ito, M.R. (author) / Duong, S. (author) / McFee, J.E. (author) / Russell, K.L. (author)


    Publication date :

    1997


    Size :

    12 Seiten, 16 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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