Publication detail

Particle Swarm Optimization Technique Applied To Image Recognition Using Delta Robot

KOVÁŘ, J. ANDRŠ, O.

Original Title

Particle Swarm Optimization Technique Applied To Image Recognition Using Delta Robot

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

KOVÁŘ, J.; ANDRŠ, O.

RIV year

2011

Released

15. 6. 2011

Publisher

Brno University of Technology VUT Press

Location

Brno, ČR

ISBN

978-80-214-4302-0

Book

Proceedings of 17th International Conference on Soft Computing

Edition

1

Edition number

1

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

2011

Number

1

State

Czech Republic

Pages from

67

Pages to

72

Pages count

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"
}