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Communication Dans Un Congrès Année : 2013

A novel projective stereological image analysis method to estimate particle size and shape distributions

Résumé

The aim of this article is to present a new projective stereological method that enables to estimate the size and shape of a three-dimensional (3-D) convex object from measurements only made on its two-dimensional (2-D) projections. To do so, some geometrical and morphometrical measurements on the projected shadows of the 3-D convex object are done, and its size and shape are estimated by using the maximum likelihood method. The proposed method is then applied to estimate 3-D particle size distributions during crystallization processes.
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Dates et versions

hal-00933492 , version 1 (20-01-2014)

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  • HAL Id : hal-00933492 , version 1

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Benoît Presles, Johan Debayle, Jean-Charles Pinoli. A novel projective stereological image analysis method to estimate particle size and shape distributions. 11th International Conference on Quality Control by Artificial Vision (QCAV 2013), May 2013, Fukuoka, Japan. ⟨hal-00933492⟩
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