Detail publikace

Grammar Guided Genetic Programming for Automatic Image Filter Design

Originální název

Grammar Guided Genetic Programming for Automatic Image Filter Design

Anglický název

Grammar Guided Genetic Programming for Automatic Image Filter Design

Jazyk

en

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.

Anglický 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.

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",
  annote="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.",
  address="VSB-Technical University of Ostrava",
  booktitle="The 10th International Conference on Knowledge in Telecommunication Technologies and Optics",
  chapter="34422",
  howpublished="electronic, physical medium",
  institution="VSB-Technical University of Ostrava",
  year="2010",
  month="december",
  pages="205--210",
  publisher="VSB-Technical University of Ostrava",
  type="conference paper"
}