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ŠKORPIL, V. ŠŤASTNÝ, J.
Originální název
Image Processing Using Neural Network
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
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.
Klíčová slova v angličtině
Neural Networks, Image Processing, Pattern Recognition
Autoři
ŠKORPIL, V.; ŠŤASTNÝ, J.
Rok RIV
2002
Vydáno
5. 9. 2001
Nakladatel
Foerster
Místo
UTKO VUT Brno
ISBN
80-214-1962-8
Kniha
Proceedings of the Conference TSP 2001
Číslo edice
1
Strany od
22
Strany do
27
Strany počet
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" }