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Wavelength intervals effect on reflectance spectra reconstruction

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Języki publikacji
EN
Abstrakty
EN
The principal component analysis is an important method in reflectance spectra reconstruction. This is a research into the effects of a wavelength interval on the performance of reflectance spectra estimation by the principal component analysis technique. The spectral reflectance is reconstructed by using 20, 10 and 5 nm intervals. The RMS accuracy of reflectance spectra fitting is 0.0079, 0.0074 and 0.0072, respectively for 20, 10 and 5 nm intervals with 6 principal components. As the obtained results indicated, the performance of reflectance estimation increased with decreasing the wavelength interval.
Czasopismo
Rocznik
Strony
737--742
Opis fizyczny
Bibliogr. 11 poz., tab., wykr.
Twórcy
  • Textile Engineering Department, University of Guilan, Rasht, Iran
Bibliografia
  • [1] GARY N.M., Modern Concepts of Color and Appearance, Science Publishers Inc., USA, 2000.
  • [2] WESTLAND S., RIPAMONTI C., Computational Colour Science Using Matlab, John Wiley and Sons, England, 2004.
  • [3] JOLLIFFE I.T., Principal Component Analysis, Second Edition, Springer-Velag, New York, 2002.
  • [4] FAIRMAN H.S., BRILL M.H., The principal components of reflectances, Color Research and Application 29(2), 2004, pp. 104–110.
  • [5] DI-YUAN TZENG, BERNS R.S., A review of principal component analysis and its applications to color technology, Color Research and Application 30(2), 2005, pp. 84–98.
  • [6] SHAMS-NATERI A., Effect of standard colorimetric observer on the reconstruction of reflectance spectra of coloured fabrics, Coloration Technology 124(1), 2008, pp. 14–18.
  • [7] SHAMS-NATERI A., Colour matching by principal component analysis-based spectrophotometric technique, Coloration Technology 125(1), 2009, pp. 36–42.
  • [8] SHAMS-NATERI A., Estimation of CIE tristimulus values under various illuminants, Color Research and Application 34(2), 2009, pp. 100–107.
  • [9] ANSARI K., AMIRSHAHI S.H., MORADIAN S., Recovery of reflectance spectra from CIE tristimulus values using a progressive database selection technique, Coloration Technology 122(3), 2006, pp. 128–134.
  • [10] AGAHIAN F., AMIRSHAHI S.H., A new matching strategy: trial of the principal component coordinates, Color Research and Application 33(1), 2008, pp. 10–18.
  • [11] http://www.spectral.joensuu.fi
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-129ae3a2-ea76-4b12-9003-c4226118c170
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