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