, Volume 55, Issue 3, pp 434–442 | Cite as

Morphological recognition with the addition of multi-band fluorescence excitation of chlorophylls of phytoplankton

  • M. Lauffer
  • F. Genty
  • S. Margueron
  • J. L. Collette
Original Paper


The recognition of aquatic organisms plays a crucial role in the monitoring of the pollution and for the adoption of rapid preventive actions. A compact microscopic optical imaging system is proposed in order to acquire and treat the multibands fluorescence of several pigments in phytoplankton organisms. Two algorithms for automatic recognition of phytoplankton were proposed with a minimum number of calibration parameters. The first algorithm provides a morphological recognition based on “watershed” segmentation and Fourier descriptors, while the second one builds fluorescence pigment images by “k-means” partition of intensity ratios. The operation of these algorithms was illustrated by the study of two different organisms: a cyanobacteria (Dolichospermum sp.) and an alga (Cladophora sp.). The family and the genus of these organisms were then classified into a database which is independent of the size, the orientation and the position of the specimens in the images.

Additional key words

aquatic organism fluorescence imaging morphological extraction pigment 



charge coupled device




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This work was supported by Europe (FEDER), Lorraine region and the project “BioCapTech”. The authors wish to thank emeritus Pr. Jean-Claude Pihan and Dr Cécile Dupouy (IRD, Nouméa) for their advices during the course of this study.


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Copyright information

© The Institute of Experimental Botany 2017

Authors and Affiliations

  • M. Lauffer
    • 1
    • 2
  • F. Genty
    • 1
    • 2
  • S. Margueron
    • 2
    • 1
  • J. L. Collette
    • 3
  1. 1.LMOPS, EA n°4423Centrale SupélecMetzFrance
  2. 2.LMOPS, EA n°4423Université de LorraineMetzFrance
  3. 3.IMS group, Centrale SupélecUMI n°2958 Georgia Tech/CNRSMetzFrance

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