Development
of a semi-automatic system for pollen recognition
LES AUTEURS Alain BOUCHER, Pablo
HIDALGO, Monique THONNAT, Jordina BELMONTE, Carmen GALAN, Pierre BONTON, Régis
TOMCZAK
RESUME:
A semi-automatic system for pollen recognition is studied for the european project
ASTHMA. The goal of such a system is to provide accurate pollen concentration
measurements. This information can be used as well by the palynologists, the clinicians
or a forecast system to predict pollen dispersion. At first, our emphasis has
been put on Cupressaceae, Olea, Poaceae and Urticaceae pollen types. The system
is composed of two modules: pollen grain extraction and pollen grain recognition.
In the first module, the pollen grains are observed in light microscopy and are
extracted automatically from a pollen slide coloured with fuchsin and digitized
in 3D. In the second module, the pollen grain is analyzed for recognition. To
accomplish the recognition, it is necessary to work on 3D images and to use detailed
palynological knowledge. This knowledge describes the pollen types according to
their main visible characteristerics and to those which are important for recognition.
Some pollen structures are identified like the pore with annulus in Poaceae, the
reticulum in Olea and similar pollen types or the cytoplasm in Cupressaceae. The
preliminary results show the recognition of some pollen types, like Urticaceae
or Poaceae or some groups of pollen types, like reticulate group.
Mots clé: Aerobiology, Automatic pollen recognition, Colour image
analysis, 3D study, Light microscopy, Pollen morphology, Automatic pollen counting
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BibTeX reference:
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Dernière mise à jour :
21/01/03
Catherine.Martin@sophia.inria.fr