Abstract
Microbeads of various size with complex core-shell structures are widely used in many applications such as drug delivery. During synthesis, it is important to characterize the beads’ size such that uniform properties can be obtained from uniform size. The core-shell structures can be imaged with SEM (scanning electron microscope) or TEM (transmission electron microscope) but there are no available methods to quantitatively analyze the size and distribution automatically. In this paper, we propose two automated core-shell detection methods using Hough transform and generalized Hough transform. We show the capabilities of these methods using OpenCV and compare the relative advantages and limitations.
This research was supported by Hankuk University of Foreign Studies Research Fund of 2012.
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© 2012 Springer-Verlag Berlin Heidelberg
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Jang, Y., Jeon, B., Chung, Y. (2012). Core-Shell Detection in Images of Polymer Microbeads. In: Kim, Th., Kang, JJ., Grosky, W.I., Arslan, T., Pissinou, N. (eds) Computer Applications for Bio-technology, Multimedia, and Ubiquitous City. BSBT MulGraB IUrC 2012 2012 2012. Communications in Computer and Information Science, vol 353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35521-9_2
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DOI: https://doi.org/10.1007/978-3-642-35521-9_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35520-2
Online ISBN: 978-3-642-35521-9
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