Segmentation of nanocolumnar crystals from microscopic images

  • Authors:
  • David Cuesta Frau;María Ángeles Hernández-Fenollosa;Pau Micó Tormos;Jordi Linares-Pellicer

  • Affiliations:
  • DISCA Department, Polytechnic University of Valencia, Alcoi, Spain;Department of Applied Physics, Polytechnic University of Valencia, Valencia, Spain;DISCA Department, Polytechnic University of Valencia, Alcoi, Spain;DSIC Department, Polytechnic University of Valencia, Alcoi, Spain

  • Venue:
  • ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
  • Year:
  • 2005

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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.