Difference between revisions of "Publications:Detecting P. minimum cells in phytoplankton images"
From ISLAB/CAISR
(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Irina Olenina, Sergej O...") |
|||
| Line 4: | Line 4: | ||
{{PublicationSetupTemplate|Author=Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Irina Olenina, Sergej Olenin | {{PublicationSetupTemplate|Author=Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Irina Olenina, Sergej Olenin | ||
|PID=436821 | |PID=436821 | ||
| − | |Name=Gelzinis, Adas (Kaunas University of Technology, Lithuania);Verikas, Antanas | + | |Name=Gelzinis, Adas (Kaunas University of Technology, Lithuania);Verikas, Antanas (av) (0000-0003-2185-8973) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941));Bacauskiene, Marija (Kaunas University of Technology, Lithuania);Olenina, Irina (Coastal Research and Planning Institute, Klaipeda University, Klaipeda, Lithuania);Olenin, Sergej (dCoastal Research and Planning Institute, Klaipeda University, Klaipeda, Lithuania) |
|Title=Detecting P. minimum cells in phytoplankton images | |Title=Detecting P. minimum cells in phytoplankton images | ||
|PublicationType=Conference Paper | |PublicationType=Conference Paper | ||
| Line 55: | Line 55: | ||
|CreatedDate=2011-08-25 | |CreatedDate=2011-08-25 | ||
|PublicationDate=2011-09-15 | |PublicationDate=2011-09-15 | ||
| − | |LastUpdated= | + | |LastUpdated=2014-11-10 |
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:436821}} | |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:436821}} | ||
<div style='display: none'> | <div style='display: none'> | ||
Latest revision as of 21:42, 30 September 2016
| Title | Detecting P. minimum cells in phytoplankton images |
|---|---|
| Author | Adas Gelzinis and Antanas Verikas and Marija Bacauskiene and Irina Olenina and Sergej Olenin |
| Year | 2011 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | Electrical and Control Technologies : proceedings of the 6th international conference on Electrical and Control Technologies ECT 2011 / Kaunas University of Technology, IFAC Committee of National Lithuanian Organisation |
| Conference | The 6th international conference on Electrical and Control Technologies ECT 2011, May 5-6, 2011, Kaunas, Lithuania |
| DOI | |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:436821 |
| Abstract | This article is concerned with detection of objects in phytoplankton images, especially objects representing one invasive species-Prorocentrum minimum (P. minimum), - which is known to cause harmful blooms in many estuarine and coastal environments. A new technique, combining phase congruency-based detection of circular objects, stochastic optimization, and image segmentation was developed for solving the task. The developed algorithms were tested using 114 images of 1280x960 pixels size recorded by a colour camera. There were 2088 objects representing P. minimum cells in the images in total. The algorithms were able to detect 93,25% of the objects. The results are rather encouraging and may be applied for future development of the algorithms aimed at automated classification of objects into classes representing different phytoplankton species. |
