Quantification of overlapping polygonal-shaped particles based on a new segmentation method of in situ images during crystallization

Ola Md. Suleiman Ahmad; Johan Debayle; Nesrine Gherras; Benoit Presles; Gilles Fevotte; Jean-Charles Pinoli

doi:10.1117/1.JEI.21.2.021115

10 May 2012 Quantification of overlapping polygonal-shaped particles based on a new segmentation method of in situ images during crystallization

Ola Md. Suleiman Ahmad, Johan Debayle, Nesrine Gherras, Benoit Presles, Gilles Fevotte, Jean-Charles Pinoli

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 2, 021115 (May 2012). https://doi.org/10.1117/1.JEI.21.2.021115

Abstract

Quantification of the overlapping particles in crystallization processes is very important for the quality control of chemical products or drugs. We present a method of segmentation of polygonal-shaped (i.e., rectangles, regular/irregular prisms) and overlapping particles from in situ images during a crystallization process for measuring their size distributions. The method is first based on detecting the geometric features of the particles identified by their salient corners. A clustering technique is then applied by grouping three correspondent salient corners belonging to the same particle. The proposed method is applied on particles of ammonium oxalate during batch crystallization in pure water. The particle size distributions are calculated, and a quantitative comparison between the proposed method and a manual sizing is performed. The method showed that it is valid for analyzing the crystal growth, and the results are promising for monitoring the particle size distribution.

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Ola Md. Suleiman Ahmad, Johan Debayle, Nesrine Gherras, Benoit Presles, Gilles Fevotte, and Jean-Charles Pinoli "Quantification of overlapping polygonal-shaped particles based on a new segmentation method of in situ images during crystallization," Journal of Electronic Imaging 21(2), 021115 (10 May 2012). https://doi.org/10.1117/1.JEI.21.2.021115

Published: 10 May 2012

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