Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
ŠKORPIL, V.; ŠŤASTNÝ, J.
Originální název
Comparison Methods for Object Recognition
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper describes our new unpublished results and outputs of selected methods for object recognition. It is continued to our former research. We are focused to the identification with the aid of moments, with the aid of syntactical analysis and with the aid of neural network algorithms. Momentum method is very sensitive to entry image quality. Syntactic analysis is suitable for rotated objects, high-speed classification and for small changes in the segment edge. Neural network algorithms can be used for high-speed classification with randomly rotated objects and for some differences between learned etalons and classified objects.
Anglický abstrakt
Klíčová slova
Neural network, Invariant moments, Primitives, Syntactical analysis, Back-propagation algorithm.
Klíčová slova v angličtině
Autoři
Rok RIV
2010
Vydáno
21.07.2009
Nakladatel
WSEAS
Místo
Rhodos, Greece
ISBN
978-960-474-097-0
Kniha
Proceedings of the 13th WSEAS International Conference on Systems
Edice
Strany od
607
Strany do
610
Strany počet
4
BibTex
@inproceedings{BUT29438, author="Vladislav {Škorpil} and Jiří {Šťastný}", title="Comparison Methods for Object Recognition", booktitle="Proceedings of the 13th WSEAS International Conference on Systems", year="2009", series="WSEAS", number="1", pages="607--610", publisher="WSEAS", address="Rhodos, Greece", isbn="978-960-474-097-0" }