Detail publikačního výsledku

Image Filter Design Based on Evolution

KARÁSEK, J.; BENEŠ, R.

Originální název

Image Filter Design Based on Evolution

Anglický název

Image Filter Design Based on Evolution

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Image filter design is a time-consuming process and can easily get stuck in a suboptimal solution when it is designed by the human programmer. This paper proposes an evolution approach for image filter design based on grammar-guided genetic programming (GGGP) utilizing the Evolution Framework (Fig. 1) which is being developed at the Faculty of Electrical Engineering and Communication at the Brno University of Technology. The aim of this work is not to substitute the human work, but to facilitate and improve the productivity of image filter design in many scientific and engineering applications.

Anglický abstrakt

Image filter design is a time-consuming process and can easily get stuck in a suboptimal solution when it is designed by the human programmer. This paper proposes an evolution approach for image filter design based on grammar-guided genetic programming (GGGP) utilizing the Evolution Framework (Fig. 1) which is being developed at the Faculty of Electrical Engineering and Communication at the Brno University of Technology. The aim of this work is not to substitute the human work, but to facilitate and improve the productivity of image filter design in many scientific and engineering applications.

Klíčová slova

Filters, Evolution, Genetic Programming

Klíčová slova v angličtině

Filters, Evolution, Genetic Programming

Autoři

KARÁSEK, J.; BENEŠ, R.

Rok RIV

2011

Vydáno

29.04.2010

Nakladatel

NOVPRES

Místo

Brno

ISBN

978-80-214-4080-7

Kniha

Proceedings of the 16th Conference Student EEICT 2010 Volume 5

Strany od

251

Strany do

255

Strany počet

5

URL

BibTex

@inproceedings{BUT30312,
  author="Jan {Karásek} and Radek {Beneš}",
  title="Image Filter Design Based on Evolution",
  booktitle="Proceedings of the 16th Conference Student EEICT 2010 Volume 5",
  year="2010",
  number="1",
  pages="251--255",
  publisher="NOVPRES",
  address="Brno",
  isbn="978-80-214-4080-7",
  url="http://www.feec.vutbr.cz/EEICT/2010/sbornik/03-Doktorske_projekty/10-Inteligentni_systemy/02-karasekj.pdf"
}