Spectral reflectance curves for multispectral imaging, combining different techniques and a neural network

被引：0

作者：

Osorio-Gomez, C. A. ^{[1
]}

Mejia-Ospino, E. ^{[2
]}

Guerrero-Bermudez, J. E. ^{[1
]}

机构：

[1] Univ Ind Santander, Fac Ciencias, Escuela Fis, Grp Opt & Tratamiento Senales, Bucaramanga, Colombia

[2] Univ Ind Santander, Fac Ciencias, Escuela Quim, Lab Espect Atom Mol, Bucaramanga, Colombia

来源：

REVISTA MEXICANA DE FISICA | 2009年 / 55卷 / 02期

关键词：

Artificia neural network; spectral reflectanc curves; multispectral imaging; curve fitting; RECONSTRUCTION;

D O I：

暂无

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this paper. we present an alternative procedure for the digital reconstruction of spectral reflectanc 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.

引用

页码：120 / 124

页数：5

共 12 条

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