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Automatic identification of cell files in light microscopic images of conifer wood

Pol Kennel 1, * Gérard Subsol 2 Michaël Guéroult 3 Philippe Borianne 3
* Corresponding author
1 ARITH - Arithmétique informatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper, we present an automatic method to recognize cell files in light microscopic images of conifer wood. This original method is decomposed into three steps: the segmentation step which extracts some anatomical structures in the image, the classification step which identifies in these structures the interesting cells, and the cell files recognition step. Some preliminary results obtained on several species of conifers are presented and analyzed.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00804426
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Submitted on : Monday, March 25, 2013 - 3:00:50 PM
Last modification on : Thursday, July 2, 2020 - 1:59:12 PM
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  • HAL Id : lirmm-00804426, version 1

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Pol Kennel, Gérard Subsol, Michaël Guéroult, Philippe Borianne. Automatic identification of cell files in light microscopic images of conifer wood. IPTA: Image Processing Theory, Tools and Applications, Jul 2010, Paris, France. pp.98-103. ⟨lirmm-00804426⟩

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