Image segmentation and 3D reconstruction for improved prediction of the sublimation rate during freeze drying

Capozzi, L. C.; Arsiccio, A.; Sparavigna, A. C.; Pisano, R.; Barresi, A. A.

doi:http://dx.doi.org/10.4995/IDS2018.2018.8877

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In a freeze drying process, the freezing step determines the pore size distribution within the product, which, in turn, affects the sublimation rate. Traditionally, pore analysis is carried out on SEM images by means of a manual, time-consuming approach. Here, an image segmentation technique was used to automatize this process and improve its reliability. A 3D structure of the cake was then reconstructed from the distribution of the super-pixels. We show that the approach herein proposed can remarkably improve prediction of the sublimation rate with respect to traditional methods.

Titolo:	Image segmentation and 3D reconstruction for improved prediction of the sublimation rate during freeze drying
Autori:	CAPOZZI, LUIGI CARLO ARSICCIO, ANDREA SPARAVIGNA, Amelia Carolina PISANO, ROBERTO BARRESI, Antonello
Data di pubblicazione:	2018
Abstract:	In a freeze drying process, the freezing step determines the pore size distribution within the pr...oduct, which, in turn, affects the sublimation rate. Traditionally, pore analysis is carried out on SEM images by means of a manual, time-consuming approach. Here, an image segmentation technique was used to automatize this process and improve its reliability. A 3D structure of the cake was then reconstructed from the distribution of the super-pixels. We show that the approach herein proposed can remarkably improve prediction of the sublimation rate with respect to traditional methods.
ISBN:	9788490486887
Appare nelle tipologie:	4.1 Contributo in Atti di convegno

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