Detecting P. minimum cells in phytoplankton images
2011 (English)In: 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, Kaunas, Lithuania: Kaunas University of Technology, Lithuania , 2011, 61-66 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Kaunas, Lithuania: Kaunas University of Technology, Lithuania , 2011. 61-66 p.
, Electrical and Control Technologies, ISSN 1822-5934 ; 2011
Phase congruency, Detection of circular objects, Stochastic optimization, Phytoplankton
Computer and Information Science
IdentifiersURN: urn:nbn:se:hh:diva-15972ISI: 000306934200011OAI: oai:DiVA.org:hh-15972DiVA: diva2:436821
The 6th international conference on Electrical and Control Technologies ECT 2011, May 5-6, 2011, Kaunas, Lithuania