Resumo

OSORIO-GOMEZ, C.A.; MEJIA-OSPINO, E.  e  GUERRERO-BERMUDEZ, J.E.. Spectral reflectance curves for multispectral imaging, combining different techniques and a neural network. Rev. mex. fis. [online]. 2009, vol.55, n.2, pp.120-124. ISSN 0035-001X.

In this paper, we present an alternative procedure for the digital reconstruction of spectral reflectance curves of oil painting on canvas using multispectral imaging. The technique is based on a combination of the results obtained by pseudo-inverse, principal component analysis and interpolation; these results are the input to a feed-forward back propagation neural network fittin the values of the curves to a target obtained using a spectrophotometer Shimadzu UV2401. Goodness-of-Fit Coefficien (GFC), absolute mean error (ABE) and spectral Root Mean Squared error (RMS) are the metrics used to evaluate the performance of the procedure proposed.

Palavras-chave : Artificia neural network; spectral reflectance curves; multispectral imaging; curve fitting.

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