Detail publikace

Functional-Level Development of Image Filters by Means of Cellular Automata

BIDLO, M. VAŠÍČEK, Z.

Originální název

Functional-Level Development of Image Filters by Means of Cellular Automata

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

A developmental method based on one-dimensional uniform cellular automaton is presented for generating image filters at the level of functional blocks. The key idea is to enhance the local transition function of cellular automaton in order to enable its cells to generate functional blocks when determining the new states during development. Simple genetic algorithm is applied to find a suitable cellular automaton (its initial state and the transition function) that is able in a finite number of steps to generate a functional structure for image filtering. Several sets of experiments are presented considering various settings of parameters of the developmental system. The evolved filters are evaluated using different types of grayscale images corrupted by salt-and-pepper noise of various intensity. The obtained filters are compared to some conventional median filters with respect to the filtering quality.

Klíčová slova

Genetic algorithm, image filter, development, cellular automaton.

Autoři

BIDLO, M.; VAŠÍČEK, Z.

Rok RIV

2013

Vydáno

15. 4. 2013

Nakladatel

IEEE Computer Society

Místo

Singapore

ISBN

978-1-4673-5847-7

Kniha

2013 IEEE International Conference on Evolvable Systems (ICES)

Edice

Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI)

Strany od

29

Strany do

36

Strany počet

8

URL

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6613279

BibTex

@inproceedings{BUT103451,
  author="Michal {Bidlo} and Zdeněk {Vašíček}",
  title="Functional-Level Development of Image Filters by Means of Cellular Automata",
  booktitle="2013 IEEE International Conference on Evolvable Systems (ICES)",
  year="2013",
  series="Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI)",
  pages="29--36",
  publisher="IEEE Computer Society",
  address="Singapore",
  doi="10.1109/ICES.2013.6613279",
  isbn="978-1-4673-5847-7",
  url="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6613279"
}