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

Abstract : 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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https://hal.archives-ouvertes.fr/hal-00933492
Contributor : Andrée-Aimée Toucas <>
Submitted on : Monday, January 20, 2014 - 3:42:55 PM
Last modification on : Thursday, October 22, 2020 - 11:34:03 AM

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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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