In this paper, the description of an image recognition processor based on Morphological Associative Memories (MAM) is presented. The combination of the MAM features with its implementation in a Programmable Logic Device grants to the system high speeds of processing, high immunity to the present noise in the images and great capacity of storage; these features make of our proposal a robust system and ideal to work in applications with autonomous real time systems. The described processor, with aid of a binary process of the image, realizing the filter functions, and the use of Morphological Heteroassociative Memories min demonstrated a high performance in the recognition of images corrupted with diverse types of noises.


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    Titel :

    Image Recognition Processor based on Morphological Associative Memories


    Beteiligte:


    Erscheinungsdatum :

    2007-09-01


    Format / Umfang :

    697802 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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