DocumentCode :
3393086
Title :
Phytoplankton identification by combined methods of morphological processing and fluorescence imaging
Author :
Lauffer, M. ; Genty, F. ; Collette, J.L. ; Margueron, S.
Author_Institution :
LMOPS, IMS, Supelec, Metz, France
fYear :
2015
fDate :
9-10 July 2015
Firstpage :
131
Lastpage :
135
Abstract :
The identification of phytoplankton is currently an important issue to prevent the aquatic environment. The growth of one or several phytoplankton species can lead to hyper eutrophication and causes lethal consequences on other organisms. In this paper, the selective recognition of invading species is investigated by automatic recognition algorithms of optical and fluorescence imaging. Firstly, morphological characteristics of algae of microscopic imaging are treated. The image processing lead to the identification the genus of aquatic organisms and compared to a morphologic data base. Secondly, fluorescence images allow an automatic recognition based on multispectral data that identify locally the ratio of different photosynthetic pigments and gives a unique finger print of algae. It is shown that the combination of both methods are useful in the recognition of aquatic organisms.
Keywords :
fluorescence; hydrological techniques; microorganisms; water quality; algae morphological characteristic; algae unique finger print; aquatic environment; aquatic organism genus identification; aquatic organism recognition; automatic recognition algorithm; automatic recognition based multispectral data; fluorescence imaging method; hyper eutrophication; image processing; invading species selective recognition; lethal organism consequence; microscopic imaging; morphological processing method; optical imaging; photosynthetic pigment ratio; phytoplankton identification; phytoplankton species growth; Band-pass filters; Fluorescence; Image segmentation; Imaging; Optical filters; Organisms; Shape; Image processing; fluorescence; phytoplankton recognition Introduction (Heading 1);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental, Energy and Structural Monitoring Systems (EESMS), 2015 IEEE Workshop on
Conference_Location :
Trento
Print_ISBN :
978-1-4799-8214-1
Type :
conf
DOI :
10.1109/EESMS.2015.7175865
Filename :
7175865
Link To Document :
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