Defining reliability coefficients in an automated method of identification and characterization of radial files in microscopic images of gymnosperms

Guilhem Brunel 1 Philippe Borianne 1 Gérard Subsol 2 Marc Jaeger 3 Yves Caraglio 1
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 DIGIPLANTE - Modélisation de la croissance et de l'architecture des plantes
MAS - Mathématiques Appliquées aux Systèmes - EA 4037, Inria Saclay - Ile de France, Ecole Centrale Paris, CIRAD - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Abstract : The analysis of wood anatomical sections is of great interest for understanding the growth anddevelopment of plants. We propose a novel method for automatically identifying and characterizing radialfiles in wood microscopic images of gymnosperms. A key point is to be able to assign a priori reliabilitycoefficient to the results, particularly for statistical processing in large-scale analyses. We describe in thispaper the principle used to establish reliability coefficients to evaluate the radial file identification processand the geometrical measurements of cells and their components.
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Conference papers
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Submitted on : Friday, October 14, 2016 - 6:05:05 PM
Last modification on : Friday, March 29, 2019 - 9:11:39 AM

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  • HAL Id : lirmm-01381832, version 1

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Guilhem Brunel, Philippe Borianne, Gérard Subsol, Marc Jaeger, Yves Caraglio. Defining reliability coefficients in an automated method of identification and characterization of radial files in microscopic images of gymnosperms. 7th International Conference on Functional-Structural Plant Models (FSPM 2013), R. Sievänen; E. Nikinmaa; C. Godin; A. Lintunen; P. Nygren, Jun 2013, Saariselkä, Finland. pp.82-84. ⟨lirmm-01381832⟩

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