Publication detail

Image Filter Design Based on Evolution

KARÁSEK, J. BENEŠ, R.

Original Title

Image Filter Design Based on Evolution

English Title

Image Filter Design Based on Evolution

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Filters, Evolution, Genetic Programming

RIV year

2010

Released

29.04.2010

Publisher

NOVPRES

Location

Brno

ISBN

978-80-214-4080-7

Book

Proceedings of the 16th Conference Student EEICT 2010 Volume 5

Edition number

1

Pages from

251

Pages to

255

Pages count

5

URL

BibTex


@inproceedings{BUT30312,
  author="Jan {Karásek} and Radek {Beneš}",
  title="Image Filter Design Based on Evolution",
  annote="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.",
  address="NOVPRES",
  booktitle="Proceedings of the 16th Conference Student EEICT 2010 Volume 5",
  chapter="30312",
  howpublished="electronic, physical medium",
  institution="NOVPRES",
  year="2010",
  month="april",
  pages="251--255",
  publisher="NOVPRES",
  type="conference paper"
}