Automatic recognition system of aquatic organisms by classical and fluorescence microscopy

Mathieu Lauffer 1 Frédéric Genty 1 Samuel Margueron 1 Jean-Luc Collette 2 Jean-Claude Pihan
1 LMOPS - Laboratoire Matériaux Optiques, Photonique et Systèmes
2 UMI2958 - Georgia Tech - CNRS [Metz]
Abstract : Blooming of algae and more generally phytoplankton in water ponds or marine environments can lead to hyper eutrophication and lethal consequences on other organisms. The selective recognition of invading species is investigated by automatic recognition algorithms of optical and fluorescence imaging. On one hand, 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. On the other hand, 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 : Image processing Luminescence Microscopy Organisms Water Algorithms
Type de document :
Communication dans un congrès
Optical Sensors 2015, Apr 2015, Prague, Czech Republic. 9506 (95061O), pp.1-7, 2015, Proceedings of SPIE 9506. 〈10.1117/12.2185055〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01279497
Contributeur : Sébastien Van Luchene <>
Soumis le : vendredi 26 février 2016 - 12:50:35
Dernière modification le : mercredi 20 septembre 2017 - 17:01:18

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Mathieu Lauffer, Frédéric Genty, Samuel Margueron, Jean-Luc Collette, Jean-Claude Pihan. Automatic recognition system of aquatic organisms by classical and fluorescence microscopy. Optical Sensors 2015, Apr 2015, Prague, Czech Republic. 9506 (95061O), pp.1-7, 2015, Proceedings of SPIE 9506. 〈10.1117/12.2185055〉. 〈hal-01279497〉

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