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Proceedings Paper

Classification automation of thermoplastic particles in a cured epoxy matrix according to their size on microscopic images
Author(s): Victoria A. Sablina; Alexander N. Varnavsky; Andrei N. Varnavsky
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Paper Abstract

Epoxy resins have wide applications in modern industries. To improve the properties of such resins the thermoplastic component is often used. This component dissolves in the epoxy resin at a high temperature. To determine the properties of the obtained cured epoxy matrix with thermoplastic particles it is important to estimate and classify this particle sizes. In this paper we investigate methods for solving these tasks automatically. The thermoplastic particle sizes are analyzed using the microscopy images of the cured epoxy matrix. The digital image processing methods for the thermoplastic particle detection are discussed. The Otsu’s method is implemented for microscopic images with homogeneous background. The Circular Hough Transform method is implemented for microscopic images with big visible particle radii. The results of both methods for the considered images are represented. The parameters of the Gaussian distribution for the thermoplastic particle sizes in a cured epoxy matrix are estimated from the analyzed microscopic images.

Paper Details

Date Published: 30 December 2016
PDF: 6 pages
Proc. SPIE 10224, International Conference on Micro- and Nano-Electronics 2016, 102242B (30 December 2016); doi: 10.1117/12.2267090
Show Author Affiliations
Victoria A. Sablina, Ryazan State Radio Engineering Univ. (Russian Federation)
Alexander N. Varnavsky, Ryazan State Radio Engineering Univ. (Russian Federation)
Andrei N. Varnavsky, Lomonosov Moscow State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10224:
International Conference on Micro- and Nano-Electronics 2016
Vladimir F. Lukichev; Konstantin V. Rudenko, Editor(s)

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