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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106311" target="_blank" >RIV/00216305:26230/13:PU106311 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6613279" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6613279</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICES.2013.6613279" target="_blank" >10.1109/ICES.2013.6613279</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20206 - Computer hardware and architecture

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2013 IEEE International Conference on Evolvable Systems (ICES)

ISBN

978-1-4673-5847-7

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

29-36

Název nakladatele

IEEE Computer Society

Místo vydání

Singapore

Místo konání akce

Singapore

Datum konání akce

15. 4. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000334931400005