Detail publikace

Image Processing Using Neural Network

Originální název

Image Processing Using Neural Network

Anglický název

Image Processing Using Neural Network

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.

Anglický 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.

BibTex


@inproceedings{BUT4168,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Image Processing Using Neural Network",
  annote="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.",
  address="Foerster",
  booktitle="Proceedings of the Conference TSP 2001",
  chapter="4168",
  institution="Foerster",
  year="2001",
  month="september",
  pages="22--27",
  publisher="Foerster",
  type="conference paper"
}