Publication result detail

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

BIDLO, M.; VAŠÍČEK, Z.

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

Genetic algorithm, image filter, development, cellular automaton.

Key words in English

Genetic algorithm, image filter, development, cellular automaton.

Authors

BIDLO, M.; VAŠÍČEK, Z.

RIV year

2014

Released

15.04.2013

Publisher

IEEE Computer Society

Location

Singapore

ISBN

978-1-4673-5847-7

Book

2013 IEEE International Conference on Evolvable Systems (ICES)

Edition

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

Pages from

29

Pages to

36

Pages count

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"
}