Grammar Guided Genetic Programming for Automatic Image Filter Design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU88008" target="_blank" >RIV/00216305:26220/10:PU88008 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Grammar Guided Genetic Programming for Automatic Image Filter Design
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 10th International Conference on Knowledge in Telecommunication Technologies and Optics
ISBN
978-80-248-2330-0
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
—
Publisher name
VSB-Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Dec 9, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—