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Subsections
This module is developped at LASMEA.
An automatic pollen grain extraction is done following these steps:
- Automated image focusing on pollen grains: In microscopy, the conception of a process for automated analysis of samples implies that the reading device is able to rectify image sharpness in real time. Here, it is demonstrated that the association of the relative sharpness criterion SML (Sum Modified Laplacian) and a maximum search strategy ensuing from Fibonaci's paradigm, leads onto a fast and robust algorithm for automated sharpness rectification.
- Localisation of pollen grains from colour information: In order to sort
particles on the samples and localise the pollen grains, an algorithm based
on a split and merge scheme with markovian relaxation, has been developed
for joint segmentation of a luminance plane and a chrominance plane, coming
from the principal components analysis of specific RGB data of the
application. Automated interpretation of the segmentation results completes
the colour analysis module and also enables an efficient localisation of
the grains (more than 90
the strong variations of coloration among the different pollen types). The
repetitive aspects of the sample slide analysis is totally automated.
- Digitization of pollen grains in three dimensions: The pollen grain is automatically digitize from its central section into a sequence of 100 images with a step of 0.5 microns between sections.
We perform a 3D acquisition of the pollen grains, resulting in a set of images at different depths (focus).
For each pollen grains:
- 100 optical sections are digitized
- the step between images is 0.5 microns
The system can work in supervised or in automatic mode. An interface allows the user to manipulate the system in supervised mode and to see the content of the microscopic slide.
Next: Main pollen types studied
Up: A Semi-Automatic System for
Previous: Material and methods
Alain Boucher
2001-03-06