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Filter Selection for the Design of Image Matrix

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F00%3A43500010" target="_blank" >RIV/00216305:26220/00:43500010 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Filter Selection for the Design of Image Matrix

  • Original language description

    A real technological scene was simulated by digitizing two-dimensional pictures of real objects. The ART network gave relatively good results. Its application is suitable especialy for the recognition of not very damaged and noisy pictures and in the case when other patterns are added to the learned network. The Kohonen network presented excellent results. The learning went off very quickly and that is why Kohonen network is suitable for applications where the patterns are often changed. The back-propagation algorithm yielded excellent results too. The learning of this network took a longer time than of the Kohonen one but the results of the damaged pattern recognition were better.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2000

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    CD Proceedings of the International Conference on Signal Processing Aplications&Technology.

  • ISBN

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    CMP Media Inc. USA

  • Place of publication

    Dallas (USA)

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article