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Particle Swarm Optimization Technique Applied To Image Recognition Using Delta Robot

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F11%3APU92779" target="_blank" >RIV/00216305:26210/11:PU92779 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Particle Swarm Optimization Technique Applied To Image Recognition Using Delta Robot

  • Original language description

    This article deals with using a Delta robot for image cataloging from the high-dimensional pages - a scan machine. The image recognition is based on the particle swarm optimization technique. The particle swarm optimization is computational attitude based on the social behavior of i.e. a bird flock to optimize the solution of diverse tasks. This algorithm was implemented to the software, which is controlling the scan machine. At the end of the article are shown test results of the real scan machine.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JR - Other machinery industry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of 17th International Conference on Soft Computing

  • ISBN

    978-80-214-4302-0

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    67-72

  • Publisher name

    Brno University of Technology VUT Press

  • Place of publication

    Brno, ČR

  • Event location

    Brno University of Technology

  • Event date

    Jun 15, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000302647900053