Publication detail

Image Processing Using Neural Network

ŠKORPIL, V. ŠŤASTNÝ, J.

Original Title

Image Processing Using Neural Network

Type

conference paper

Language

English

Original Abstract

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.

Key words in English

Neural Networks, Image Processing, Pattern Recognition

Authors

ŠKORPIL, V.; ŠŤASTNÝ, J.

RIV year

2002

Released

5. 9. 2001

Publisher

Foerster

Location

UTKO VUT Brno

ISBN

80-214-1962-8

Book

Proceedings of the Conference TSP 2001

Edition number

1

Pages from

22

Pages to

27

Pages count

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"
}