Publication detail

Image Processing Using Neural Network

ŠKORPIL, V. ŠŤASTNÝ, J.

English title

Image Processing Using Neural Network

Type

Paper in proceedings (conference paper)

Language

en

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.

Released

2001-09-05

Publisher

Foerster

Location

UTKO VUT Brno

ISBN

80-214-1962-8

Book

Proceedings of the Conference TSP 2001

Pages from–to

22–27

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"
}