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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" }