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
收藏
页码：120 / 124
页数：5
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