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KOVÁŘ, J.; ANDRŠ, O.
Original Title
Particle Swarm Optimization Technique Applied To Image Recognition Using Delta Robot
English Title
Type
Paper in proceedings (conference paper)
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.
English abstract
Keywords
image recognition, particle swarm optimization technique, Delta robot, PSO
Key words in English
Authors
RIV year
2012
Released
15.06.2011
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
1803-3814
Periodical
Mendel Journal series
Volume
2011
Number
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" }