Detail publikace

Image Processing Using Neural Network

ŠKORPIL, V. ŠŤASTNÝ, J.

Anglický název

Image Processing Using Neural Network

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

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.

Vydáno

2001-09-05

Nakladatel

Foerster

Místo

UTKO VUT Brno

ISBN

80-214-1962-8

Kniha

Proceedings of the Conference TSP 2001

Strany od–do

22–27

Počet stran

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"
}