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Optical Engineering

Characterization of reflectance variability in the industrial paint application of automotive metallic coatings by using principal component analysis
Author(s): José M. Medina; Jose A. Diaz
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Paper Abstract

We have applied principal component analysis to examine trial-to-trial variability of reflectances of automotive coatings that contain effect pigments. Reflectance databases were measured from different color batch productions using a multi-angle spectrophotometer. A method to classify the principal components was used based on the eigenvalue spectra. It was found that the eigenvalue spectra follow distinct power laws and depend on the detection angle. The scaling exponent provided an estimation of the correlation between reflectances and it was higher near specular reflection, suggesting a contribution from the deposition of effect pigments. Our findings indicate that principal component analysis can be a useful tool to classify different sources of spectral variability in color engineering.

Paper Details

Date Published: 4 March 2013
PDF: 9 pages
Opt. Eng. 52(5) 051202 doi: 10.1117/1.OE.52.5.051202
Published in: Optical Engineering Volume 52, Issue 5
Show Author Affiliations
José M. Medina, Univ. do Minho (Portugal)
Jose A. Diaz, Univ. de Granada (Spain)


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