Defining reliability coefficients in an automated radial file identification and characterization method in microscopic images of gymnosperms
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.
Main Authors: | , , , , |
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Format: | conference_item biblioteca |
Language: | eng |
Published: |
Finnish Society of Forest Science
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Subjects: | F50 - Anatomie et morphologie des plantes, U10 - Informatique, mathématiques et statistiques, K50 - Technologie des produits forestiers, |
Online Access: | http://agritrop.cirad.fr/570203/ http://agritrop.cirad.fr/570203/1/document_570203.pdf |
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Summary: | 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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