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A new simple fractal method for nanomaterials science and nanosensors

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We proposed a very simple new method of quantitative assessment of surface roughness and texture. We have combined methods that have been used in medicine (histopathology) with methods used in nonlinear time series analysis. A greyscale 2-D image of a 3-D surface is used for calculations of the surface fractal dimension which is a good measure of surface roughness. In the pre-processing step, the image is transformed into 1-D signals ("landscapes") that are subsequently analyzed. The method draws from multiple disciplines and has multidisciplinary applications. One of the possible applications is quality assessment of nanosensors. The same methods of analysis may be used for processing of (bio)signals generated by these nanosensors.
Wydawca
Rocznik
Strony
607--612
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
autor
  • Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland
  • GBAF, Medical Research Center, Polish Academy of Sciences, Warsaw, Poland
  • Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland
  • GBAF, Medical Research Center, Polish Academy of Sciences, Warsaw, Poland
autor
  • Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland
  • GBAF, Medical Research Center, Polish Academy of Sciences, Warsaw, Poland
Bibliografia
  • [1] KLONOWSKI W., Can. J. Phys., 66 (1989), 1051, 1061; http://hrabia.ibib.waw.pl/~lbaf/PDF_Doc/k32.pdf; http://hrabia.ibib.waw.pl/~lbaf/PDF_Doc/k33.pdf.
  • [2] KLONOWSKI W., Mach. Graph. Vis., 9 (2000), 403; http://hrabia.ibib.waw.pl/~lbaf/PDF_Doc/gkpo2000.pdf.
  • [3] KLONOWSKI W., OLEJARCZYK E., STEPIEN R., New Methods of Nonlinear and Symbolic Dynamics in Sleep EEG-Signal Analysis, [in:] D.D. Feng, E.R. Carson (Eds.), Modelling and Control in Biomedical System, IFAC Publications, Elsevier, Oxford, 2003, pp. 241–244.
  • [4] KLONOWSKI W., OLEJARCZYK E., STEPIEN R., Physica A, 342 (2004), 701.
  • [5] PENTLAND A.P., IEEE Trans. Patt. Anal. Mach. Intel., 6 (1984), 661.
  • [6] KUBE P., PENTLAND A., IEEE Trans. Patt. Anal. Mach. Intel.,10 (1988), 704.
  • [7] MATTFELDT T., Spatial Pattern Analysis using Chaos Theory: A Nonlinear Deterministic Approach to the Histological Texture of Tumours, [in:] G.A. Losa, D. Merlini, T.F. Nonnenmache, E.R. Weibel (Eds.), Fractals in Biology and Medicine, Vol. II, Birkhäuser, Basel, 1997, pp. 50–72.
  • [8] HIGUCHI T., Physica D, 31 (1988), 277.
  • [9] RANDEN T., Stavanger University College, http://www.ux.his.no/~tranden/brodatz/or http://www.ux.his.no/sigproc/textures/brodatz/.
  • [10] STACH S., ROSKOSZ S., CYBO J., CWAJNA J., Mater. Charact., 51 (2003), 87.
  • [11] STASZCZUK P., MATYJEWICZ M., KOWALSKA E., RADOMSKA J., BYSZEWSKI P., KOZLOWSKI M., Rev. Adv. Mater. Sci., 5 (2003), 471.
  • [12] KLONOWSKI W., Solitons and Fractals, 14 (2002), 1379.
  • [13] TANG Y.Y., TAO Y. AND LAM E.C.M., Pattern Recognition, 35 (2002), 1071.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW1-0022-0030
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