Water Quality Assessment by Image Processing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115309" target="_blank" >RIV/00216305:26220/15:PU115309 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7296329" target="_blank" >https://ieeexplore.ieee.org/document/7296329</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2015.7296329" target="_blank" >10.1109/TSP.2015.7296329</a>

Result language
angličtina
Original language name
Water Quality Assessment by Image Processing
Original language description
We deal with a water quality assessment using an image processing methods in this article. Our suggested method for measurement of the water quality uses two well-known biological organisms sensitive to water toxicity. Their names are Daphnia magna and Lemna minor and they are frequently used for a water analysis from an ecotoxicology point of view. In our design, these two organisms are continuously scanned in separated vessels by two cameras and acquired images are then processed autonomously. There are employed methods of a colour-space transformation and analysis and a motion analysis in an image processing stage. Finally, an indicator of a relative water quality is computed on a basis of extracted features from the acquired images.
Czech name
—
Czech description
—

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 38th International Conference on Telecommunications and Signal Processing
ISBN
978-1-4799-8497-8
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
577-581
Publisher name
IEEE
Place of publication
Neuveden
Event location
Prague, Czech Republic
Event date
Jul 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000375231000220

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