Publication detail

Methods and Algorithms for Object Recognition

ŠŤASTNÝ, J. MOTYČKA, A.

Original Title

Methods and Algorithms for Object Recognition

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

ŠŤASTNÝ, J.; MOTYČKA, A.

RIV year

2007

Released

11. 6. 2007

Publisher

Slovak University of Technology

Location

Bratislava

ISBN

978-80-227-2677-1

Book

Process Control 2007

Pages from

145

Pages to

150

Pages count

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"
}