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Segmentation of Nanocolumnar Crystals from Microscopic Images.

Authors :
Kamel, Mohamed
Campilho, Aurélio
Frau, David Cuesta
Hernández-Fenollosa, María Ángeles
Tormos, Pau Micó
Linares-Pellicer, Jordi
Source :
Image Analysis & Recognition; 2005, p55-62, 8p
Publication Year :
2005

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540290698
Database :
Supplemental Index
Journal :
Image Analysis & Recognition
Publication Type :
Book
Accession number :
32691088
Full Text :
https://doi.org/10.1007/11559573_8