Publication detail

Grammar Guided Genetic Programming for Automatic Image Filter Design

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

Original Title

Grammar Guided Genetic Programming for Automatic Image Filter Design

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

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

RIV year

2010

Released

9. 12. 2010

Publisher

VSB-Technical University of Ostrava

Location

Ostrava

ISBN

978-80-248-2330-0

Book

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

Pages from

205

Pages to

210

Pages count

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"
}