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Proceedings Paper

Nanocrystallic thin films statistical structural analysis by the automatic image processing
Author(s): Maciek Wielgus; Zofia Sunderland; Daniel Koguciuk; Krzysztof Patorski; Grzegorz Słowik
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Paper Abstract

We demonstrate the powerful new algorithm for automatic analysis of the electron diffraction patterns in the microscopic images. The method can be outlined as follows: (1) filtration of the image in the Fourier domain (2) normalization with the bidimensional Hilbert transform, so-called vortex transform (3) local diffraction pattern frequency estimation by the finite difference operator (4) morphological filtration for the elements segmentation (5) construction of the sample features statistics. With sufficient quality maintained and vastly reduced time necessary for the computations, the method is superior to previously considered wavelet-based approach for the automatic analysis of large data sets.

Paper Details

Date Published: 7 December 2013
PDF: 7 pages
Proc. SPIE 8923, Micro/Nano Materials, Devices, and Systems, 89234S (7 December 2013); doi: 10.1117/12.2033770
Show Author Affiliations
Maciek Wielgus, Warsaw Univ. of Technology (Poland)
Zofia Sunderland, Warsaw Univ. of Technology (Poland)
Daniel Koguciuk, Warsaw Univ. of Technology (Poland)
Krzysztof Patorski, Warsaw Univ. of Technology (Poland)
Grzegorz Słowik, Univ. of Maria Curie-Sklodowska (Poland)


Published in SPIE Proceedings Vol. 8923:
Micro/Nano Materials, Devices, and Systems
James Friend; H. Hoe Tan, Editor(s)

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