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Volume: 4 | Article ID: art00093
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Influence of the Size of the Training Set on Colour Measurements Performed using a Multispectral Imaging System
M. de Lasarte
J. Pujol
M. Arjona
M Vilaseca
  DOI :  10.2352/CGIV.2008.4.1.art00093  Published Online :  January 2008
Abstract

The accuracy of multispectral imaging systems for recovering reflectance spectra and/or measuring colour has been widely studied and a great deal of research work has been carried out to find the best set of filters and characterization methods. Less work has been carried out on the training set of colour patches used to characterize the system.The main aim of this work is analyzing the influence of the size of the training set on colour measurements performed using an imaging system based on a CCD camera. In order to perform this study, training sets of different size were obtained using an easy selection method, based on differences in a* and b* CIELAB coordinates between the selected colour samples from an initial training set.Two configuration of the imaging system have been used: a colorimetric configuration with 3 acquisition channels, and a multispectral configuration with 7 acquisition channels. Very similar results were obtained for both configurations, and it has been proved that the improvement in accuracy of colour measurements by increasing the size of the training set is limited, probably due to the fact that the expected improvement due to the increase of information is made up by the increase of errors accumulated in adjustment. Furthermore, a proper selection, uniform over the colour gamut available, of a low number of samples (40) allows to characterize the imaging system as well as a greater set of samples, for instance, the whole useful set of colour patches (166) of the GretagMacbeth ColorChecker DC chart.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2008.4.1.art00093
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M. de Lasarte, J. Pujol, M. Arjona, M Vilaseca, "Influence of the Size of the Training Set on Colour Measurements Performed using a Multispectral Imaging System"  in Proc. IS&T CGIV 2008/MCS'08 4th European Conf. on Colour in Graphics, Imaging, and Vision 10th Int'l Symp. on Multispectral Colour Science,  2008,  pp 437 - 440,  https://doi.org/10.2352/CGIV.2008.4.1.art00093

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Copyright © Society for Imaging Science and Technology 2008
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20080101)2008:1L.437;1-
cgiv_v2008n1/splitsection93.xml
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Articles
Influence of the Size of the Training Set on Colour Measurements Performed using a Multispectral Imaging System
LasarteM. de
PujolJ.
ArjonaM.
VilasecaM
01012008
2008
1
437
440
2008
The accuracy of multispectral imaging systems for recovering reflectance spectra and/or measuring colour has been widely studied and a great deal of research work has been carried out to find the best set of filters and characterization methods. Less work has been carried out on the training set of colour patches used to characterize the system.The main aim of this work is analyzing the influence of the size of the training set on colour measurements performed using an imaging system based on a CCD camera. In order to perform this study, training sets of different size were obtained using an easy selection method, based on differences in a* and b* CIELAB coordinates between the selected colour samples from an initial training set.Two configuration of the imaging system have been used: a colorimetric configuration with 3 acquisition channels, and a multispectral configuration with 7 acquisition channels. Very similar results were obtained for both configurations, and it has been proved that the improvement in accuracy of colour measurements by increasing the size of the training set is limited, probably due to the fact that the expected improvement due to the increase of information is made up by the increase of errors accumulated in adjustment. Furthermore, a proper selection, uniform over the colour gamut available, of a low number of samples (40) allows to characterize the imaging system as well as a greater set of samples, for instance, the whole useful set of colour patches (166) of the GretagMacbeth ColorChecker DC chart.