Author(s): A. Shams-Nateri
This study presents a practical approach for estimation reflectance spectra by means of scanner. New methods were based on polynomial regression, neural network, neuro-fuzzy and principal component analysis techniques. Obtained results indicate that the recovery error decreases with increase number of principal component and number of terms in a polynomial. Also, application of principal component increase accuracy of reflectance measurement. The best estimation is obtained by principal component analysis and artificial neural network (PCA- ANNET) with 0.0297 RMS and 6.14 ΔE*ab error.
