Detail publikace

Particle Swarm Optimization Technique Applied To Image Recognition Using Delta Robot

KOVÁŘ, J. ANDRŠ, O.

Originální název

Particle Swarm Optimization Technique Applied To Image Recognition Using Delta Robot

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

image recognition, particle swarm optimization technique, Delta robot, PSO

Autoři

KOVÁŘ, J.; ANDRŠ, O.

Rok RIV

2011

Vydáno

15. 6. 2011

Nakladatel

Brno University of Technology VUT Press

Místo

Brno, ČR

ISBN

978-80-214-4302-0

Kniha

Proceedings of 17th International Conference on Soft Computing

Edice

1

Číslo edice

1

ISSN

1803-3814

Periodikum

Mendel Journal series

Ročník

2011

Číslo

1

Stát

Česká republika

Strany od

67

Strany do

72

Strany počet

5

BibTex

@inproceedings{BUT35993,
  author="Jiří {Kovář} and Ondřej {Andrš}",
  title="Particle Swarm Optimization Technique Applied To Image Recognition Using Delta Robot",
  booktitle="Proceedings of 17th International Conference on Soft Computing",
  year="2011",
  series="1",
  journal="Mendel Journal series",
  volume="2011",
  number="1",
  pages="67--72",
  publisher="Brno University of Technology VUT Press",
  address="Brno, ČR",
  isbn="978-80-214-4302-0",
  issn="1803-3814"
}