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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" }