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Modélisation et caractérisation géométriques de cristaux par analyse d’images in situ

Abstract : The geometrical and morphological characteristics of crystals (i.e. their particle size and shape distributions) involve a considerable impact on their properties of use. In situ image acquisition enables the temporal evolution of particles to be followed during the crystallization process. In this way, image analysis provides the geometrical characteristics of such crystals. Nevertheless, the 2-D imaging system gives only access to the projection of crystals and consequently to potential overlapping (specifically for a dense media). Consequently, it is required to develop specific image analysis methods for determining the geometrical and morphometrical characteristics of the crystals. This paper presents a method based on stochastic geometrical tools. The images can be modelized by using a random geometrical model, representing the population of crystals. It is then possible to estimate the statistical moments (mean, variance …) of their geometrical characteristics such as the area, the perimeter or the diameter. The proposed method has been carried out on simulated data so as to evaluate its performance. This geometrical characterization could allow to improve the crystallization models and then the process of manufacturing.
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Submitted on : Thursday, June 9, 2016 - 3:25:23 PM
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  • HAL Id : hal-01327179, version 1

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Saïd Rahmani, Jean-Charles Pinolí, Johan Debayle. Modélisation et caractérisation géométriques de cristaux par analyse d’images in situ. Cristal Rouen 2016 - 8ème édition du colloque Cristallisation et Précipitation Industrielles, L'équipe Cristallogénèse du Laboratoire de Sciences et Méthodes Séparatives (SMS) - Université de Rouen; Université de Rouen, May 2016, Mont-Saint-Aignan, France. pp.07-1 à 07-8. ⟨hal-01327179⟩

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