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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Image Recognition Processor based on Morphological Associative Memories


    Contributors:


    Publication date :

    2007-09-01


    Size :

    697802 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An Efficient Morphological Associative Memories Hardware Implementation for Pattern Recognition Applications

    Ramirez, Enrique Guzmán / Alvarado, Selene / Ramírez, Miguel A et al. | IEEE | 2010


    Reconstruction of Patterns from Noisy Inputs Using Morphological Associative Memories

    Ritter, G. X. / Urcid, G. / Iancu, L. | British Library Online Contents | 2003


    Morphological Scale Spaces and Associative Morphological Memories Results on Robustness and Practical Applications

    Raducanu, B. / Grana, M. / Albizuri, F. X. | British Library Online Contents | 2003


    Towards Generalizable Associative Skill Memories

    Hakan Girgin / Emre Ugur | BASE | 2017

    Free access

    Associative memories in space applications.

    Gunderson, D. C. | NTRS | 1966