Detail publikace

Comparison Methods for Object Recognition

ŠKORPIL, V. ŠŤASTNÝ, J.

Originální název

Comparison Methods for Object Recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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This paper describes our new unpublished results and outputs of selected methods for object recognition.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.

Klíčová slova

Neural network, Invariant moments, Primitives, Syntactical analysis, Back-propagation algorithm.

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Rok RIV

2009

Vydáno

21. 7. 2009

Nakladatel

WSEAS

Místo

Rhodos, Greece

ISBN

978-960-474-097-0

Kniha

Proceedings of the 13th WSEAS International Conference on Systems

Edice

WSEAS

Číslo edice

1

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"
}