Detail publikace

Methods and Algorithms for Object Recognition

ŠŤASTNÝ, J. MOTYČKA, A.

Originální název

Methods and Algorithms for Object Recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper deals with problems of computer image processing with a view to applications in the area of industrial robotics. Besides classical methods for object recognition especially nontraditional methods and algorithms (the Multi Layer Perceptron neural network algorithm and the Levenshtein algorithm) were tested in simulation environment. Implemented algorithms were tested on the simulated objects of technological scene given. The results of the simulation experiments show that the Multi Layer Perceptron neural network with the Back-Propagation algorithm and the Levenshtein algorithm are very promising for object recognition of technological scenes for the use of industrial robots control.

Klíčová slova

Image processing, flag vector, neural network, syntactic analysis.

Autoři

ŠŤASTNÝ, J.; MOTYČKA, A.

Rok RIV

2007

Vydáno

11. 6. 2007

Nakladatel

Slovak University of Technology

Místo

Bratislava

ISBN

978-80-227-2677-1

Kniha

Process Control 2007

Strany od

145

Strany do

150

Strany počet

6

BibTex

@inproceedings{BUT28319,
  author="Jiří {Šťastný} and Arnošt {Motyčka}",
  title="Methods and Algorithms for Object Recognition",
  booktitle="Process Control 2007",
  year="2007",
  pages="145--150",
  publisher="Slovak University of Technology",
  address="Bratislava",
  isbn="978-80-227-2677-1"
}