Defining a reliability coefficient in an automated method of identification of radial files in microscopic images of gymnosperms
Keywords: image processing, wood microscopic images, radial file identification, a priori reliability
AbstractAnalysis of wood anatomical sections is of great interest in understanding the growth and development of plants. We propose a novel method to automatically identify and characterize radial files in wood microscopic images of gymnosperms. A key-point is to be able to assign a priori reliability coefficient to the results, in particular in the case of a statistical processing in great-scale analysis. We describe in this paper the building principle of the reliability coefficients to evaluate the radial file identification (process) and the geometrical measurements of the cells and its components.
1B Reconstructing and observing plant structure
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