Application of a digital pattern recognition system to

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Éditeur(s) EDP Sciences
Identifiant documentaire 10-1996031
Identifiant OAI oai:edpsciences.org:dkey/10.1051/alr:1996031
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Auteur(s): Philippe Truquet,Patrick Lassus,Giorgio Honsell,Loïc Le Déan
Mots clés sp. image analysis taxonomy phytoplankton sp. analyse d'image taxonomie phytoplancton
Date de publication 15/07/1996
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Source https://doi.org/10.1051/alr:1996031
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An image discrimination technique was developed to improve specific identification of some toxic Dinophysis cells (marine dinoflagellates involved in diarrhoeic shellfish poisoning), especially the "acuminata" and "sacculus" groups, which can be present at different ratios in natural sea-water samples collected during toxic episodes. This work was performed with image analysis software SAMBA (TITN Alcatel) using preserved cells directly observed through an inverted microscope and recorded with a video camera before further processing. All morphometric parameters used for discrimination of 7 different species or morphotypes of Dinophysis were tested with discriminant analysis. This study indicates that Dinophysis sp. and D. pavillardi seem well classified at the species level, whereas D. cf. acuminata and D. sacculus appear to be morphotypes of D. acuminata.

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