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)

1 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
2 ICAR - Image & Interaction
3 DIGIPLANTE - Modélisation de la croissance et de l'architecture des plantes

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.

Mots clés: Image processing; Wood microscopic images; Radial file identification; a priori reliability

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]

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. FSPM: Functional-Structural Plant Models, R. Sievänen; E. Nikinmaa; C. Godin; A. Lintunen; P. Nygren, Jun 2013, Saariselkä, Finland. pp.82-84. ⟨lirmm-01381832⟩