Real-time image segmentation is a critical part of an automatic target recognizer (ATR). The segmentation of poorly resolved targets in low contrast thermal video images is a challenging task. Most edge-based segmenters are too susceptible to noise, contrast variation, and target boundary discontinuity. The problem is the lack of a fast (video rate) and robust method of grouping the relevant edge elements together while rejecting the irrelevant ones. The authors have overcome this problem by combining the processing power of a single instruction multiple data (SIMD) computer with a newly developed model-directed segmentation algorithm.


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    Titel :

    Parallel algorithm for model-directed real-time image segmentation


    Weitere Titelangaben:

    Ein paralleler Algorithmus für modellgeleitete Realzeit-Bildsegmentierung


    Beteiligte:
    Long, D.T. (Autor:in) / Abdou, I.E. (Autor:in) / Sutha, S. (Autor:in)


    Erscheinungsdatum :

    1990


    Format / Umfang :

    6 Seiten, 4 Bilder, 8 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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