Detail publikace

Grammar Guided Genetic Programming for Automatic Image Filter Design

KARÁSEK, J. BURGET, R. BENEŠ, R. NAGY, Ľ.

Originální název

Grammar Guided Genetic Programming for Automatic Image Filter Design

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents a new innovative technique for high level image filter design. At first, the evolution framework has been designed and implemented. This framework should maximize reusability and robustness of source code and performance of proposed filters. This article describes part of the framework which deals with grammar-guided genetic programming and its use case. The use case shows how it is possible to make an image filter design by automatic process of evolution. The concrete example is shown on the recognition of artery in medical screening. The main contribution of this work is to facilitate and improve the productivity of automatic image filter design.

Klíčová slova

Evolutin Framework, Genetic Algorithms, Genetic Programming, Context Free Grammar, Image Filter Design

Autoři

KARÁSEK, J.; BURGET, R.; BENEŠ, R.; NAGY, Ľ.

Rok RIV

2010

Vydáno

9. 12. 2010

Nakladatel

VSB-Technical University of Ostrava

Místo

Ostrava

ISBN

978-80-248-2330-0

Kniha

The 10th International Conference on Knowledge in Telecommunication Technologies and Optics

Strany od

205

Strany do

210

Strany počet

6

BibTex

@inproceedings{BUT34422,
  author="Jan {Karásek} and Radim {Burget} and Radek {Beneš} and Ľuboš {Nagy}",
  title="Grammar Guided Genetic Programming for Automatic Image Filter Design",
  booktitle="The 10th International Conference on Knowledge in Telecommunication Technologies and Optics",
  year="2010",
  pages="205--210",
  publisher="VSB-Technical University of Ostrava",
  address="Ostrava",
  isbn="978-80-248-2330-0"
}