Abstract
This paper addresses the segmentation of crystalline Zinc oxide nanocolumns from microscopic images. ZnO is a direct band semiconductor suitable for many applications whose interest has been growing recently. One of these applications are light-collecting devices such as solar cells, using nanostructured substrates. Electrodeposition is a low cost technique very suitable for the preparation of nanostructured ZnO, producing nanocolumnar ZnO crystals with a morphology that depends on the deposition parameters and the substrate characteristics. The parameters of the sample can be determined processing images of the nanostructures, which is the objective of this study.
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Frau, D.C., Hernández-Fenollosa, M.Á., Tormos, P.M., Linares-Pellicer, J. (2005). Segmentation of Nanocolumnar Crystals from Microscopic Images. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_8
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DOI: https://doi.org/10.1007/11559573_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29069-8
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