Water Area Identification Based on Image Low Level Features

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU90981" target="_blank" >RIV/00216305:26220/11:PU90981 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Water Area Identification Based on Image Low Level Features
Original language description
This paper describes several methods that could be used for water area identification. These proposed methods use several image low-level features that are introduced in this paper too. The low level features are acquired from the pixels of the image. Together with low level features the learning algorithms are introduced. These evolutionary algorithms use the low level features for learning. The learning algorithms are focused on the water area for our research. The one hundred images have been prepared for testing of the proposed algorithms. All the results are placed in the end of this paper.
Czech name
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Czech description
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Project
<a href="/en/project/ME10123" target="_blank" >ME10123: The Research of Algorithms for Processing of Digital Images and Image Sequences</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
6th International Conference on Teleinformatics 2011
ISBN
978-80-214-4231-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Dolní Morava
Event date
Feb 2, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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