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

Brunel G., Borianne P., Subsol G., Jaeger M., Caraglio Y.. 2013. In : Eds. Risto Sievänen, Eero Nikinmaa, Christophe Godin, Anna Lintunen, Pekka Nygren. Proceedings of the 7th International Conference on Functional-Structural Plant Models (FSPM2013), Saariselkä, Finland, 9-14 June 2013. Vantaa : Finnish Society of Forest Science, p. 82-84. International Conference on Functional-Structural Plant Models. 7, 2013-06-09/2013-06-14, Saariselkä (Finlande).

The analysis of wood anatomical sections is of great interest for understanding the growth and development of plants. We propose a novel method for automatically identifying and characterizing radial files in wood microscopic images of gymnosperms. A key point is to be able to assign a priori reliability coefficient to the results, particularly for statistical processing in large-scale analyses. We describe in this paper the principle used to establish reliability coefficients to evaluate the radial file identification process and the geometrical measurements of cells and their components.

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