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Detail publikačního výsledku
KARÁSEK, J.; BURGET, R.; BENEŠ, R.; NAGY, Ľ.
Originální název
Grammar Guided Genetic Programming for Automatic Image Filter Design
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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
Klíčová slova
Evolutin Framework, Genetic Algorithms, Genetic Programming, Context Free Grammar, Image Filter Design
Klíčová slova v angličtině
Autoři
Rok RIV
2011
Vydáno
09.12.2010
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" }