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Journal of Electronic Imaging

Quantification of overlapping polygonal-shaped particles based on a new segmentation method of in situ images during crystallization
Author(s): Ola Md. Suleiman Ahmad; Johan Debayle; Nesrine Gherras; Benoit Presles; Gilles Fevotte; Jean-Charles Pinoli
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Paper 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.

Paper Details

Date Published: 10 May 2012
PDF: 12 pages
J. Electron. Imaging. 21(2) 021115 doi: 10.1117/1.JEI.21.2.021115
Published in: Journal of Electronic Imaging Volume 21, Issue 2
Show Author Affiliations
Ola Md. Suleiman Ahmad, Ecole Nationale Supérieure des Mines de Saint-Étienne (France)
Johan Debayle, Ecole Nationale Supérieure des Mines de Saint-Étienne (France)
Nesrine Gherras, Ecole Nationale Supérieure des Mines de Saint-Étienne (France)
Benoit Presles, Ecole Nationale Supérieure des Mines de Saint-Étienne (France)
Gilles Fevotte, Ecole Nationale Supérieure des Mines de Saint-Étienne (France)
Jean-Charles Pinoli, Ecole Nationale Supérieure des Mines de Saint-Étienne (France)


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