Detail publikace

Image Filter Design Based on Evolution

Originální název

Image Filter Design Based on Evolution

Anglický název

Image Filter Design Based on Evolution

Jazyk

en

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.

Dokumenty

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"
}