Publication detail

Kohenen Neural Network for Image Processing. In Proceeding of the 10th International Workshop on Systems, Signals and Image Processing

ŠKORPIL, V. ŠŤASTNÝ, J.

Original Title

Kohenen Neural Network for Image Processing. In Proceeding of the 10th International Workshop on Systems, Signals and Image Processing

Type

conference paper

Language

English

Original Abstract

The Kohonen network is one of the self-organizing neural networks. The number of inputs coming to neurons is equal to the number of inputs to the Kohonen network. A characteristic feature of an ART network is its ability to switch the variable and stable mode without damaging the information learned. The ART network is very sensitive to noise and failure and that is why it is not suitable for the recognition of damaged pictures. It is not necessary to solve the problem of local minimum as the ART network is always convergent to optimum solution. A real technological scene was simulated by digitizing two-dimensional pictures of real objects. The ART network gave relatively good results. Its application is suitable especially for the recognition of not very damaged and noisy pictures and in the case when other patterns are added to the learned network. The Kohonen network presented excellent results. The learning went off very quickly and that is why the Kohonen network is suitable for applications where the patterns are often changed. When tested, the Back-propagation neural network the same as the Kohenen network yielded excellent results. With this network, the learning took longer than with the Kohenen network, but the results of identification of the chosen damaged patterns were better.

Keywords

neural network; Kohenen Network; image processing

Authors

ŠKORPIL, V.; ŠŤASTNÝ, J.

Released

26. 8. 2003

Publisher

CVUT Praha

Location

Praha

Pages from

183

Pages to

188

Pages count

5

URL

knihovna UTKO

BibTex

@inproceedings{BUT32455,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Kohenen Neural Network for Image Processing. In Proceeding of the 10th International Workshop on Systems, Signals and Image Processing",
  booktitle="Proceeding of the 10th International Workshop on Systems, Signals and Image Processing",
  year="2003",
  pages="183--188",
  publisher="CVUT Praha",
  address="Praha",
  url="knihovna UTKO"
}