Detail publikace

Image Processing Using Neural Network

ŠKORPIL, V. ŠŤASTNÝ, J.

Originální název

Image Processing Using Neural Network

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This contribution describes the problem of the object classification by using artifical neural network. This is the question of the Back-propagation, Kohonen and ART network algorithms comparison. Back-propagation algorithm is based on minimization of neural network energy, Kohonen network is one of the self-organizing neural networks and characteristic feature of ART network is its ability to switch the variable and stable mode without damaging information learned. The application part includes the total evaluation of given algorithms on the bases of time learning and success in classification of given objects of two-dimensional technologic scene. The real technologic scene was simulated with digitization of two-dimensional pictures of real objects.

Klíčová slova v angličtině

Neural Networks, Image Processing, Pattern Recognition

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Rok RIV

2002

Vydáno

5. 9. 2001

Nakladatel

Foerster

Místo

UTKO VUT Brno

ISBN

80-214-1962-8

Kniha

Proceedings of the Conference TSP 2001

Číslo edice

1

Strany od

22

Strany do

27

Strany počet

6

BibTex

@inproceedings{BUT4168,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Image Processing Using Neural Network",
  booktitle="Proceedings of the Conference TSP 2001",
  year="2001",
  number="1",
  pages="22--27",
  publisher="Foerster",
  address="UTKO VUT Brno",
  isbn="80-214-1962-8"
}