Anno2013
AutoriColtelli P; Barsanti L; Evangelista V; Frassanito AM; Passarelli V; Gualtieri P
AbstractMicroalgae are unicellular photoautotrophic organisms that grow in any habitat such as fresh and salt water bodies, hot springs, ice, air, and in or on other organisms and substrates. Massive growth of microalgae may produce harmful effects on the marine and freshwater ecological environment and fishery resources. Therefore, rapid and accurate recognition and classification of microalgae is one of the most important issues in water resource management. In this paper, a new methodology for automatic and real time identification of microalgae by means of microscopy image analysis is presented. This methodology is based on segmentation, shape features extraction, and characteristic colour (i.e. pigment signature) determination. A classifier algorithm based on the minimum distance criterion was used for microalgae grouping according to the measured features. 96.6% accuracy from a set of 3423 images of 24 different microalgae representing the major algal phyla was achieved by this methodology.
RivistaJournal Of Environmental Monitoring
ISSN
Impact factor
Volume15
Pagina inizio1397
Pagina fine1410
Autori IBFValtere EVANGELISTA, Vincenzo PASSARELLI, Laura BARSANTI, Paolo GUALTIERI, Anna Maria FRASSANITO
Linee di Ricerca IBFMD.P01.020.001
Sedi IBFIBF.PI