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RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach

In the last years the need to numerically define color by its coordinates in n-dimensional space has increased strongly. Colorimetric calibration is fundamental in food processing and other biological disciplines to quantitatively compare samples' color during workflow with many devices. Severa...

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Autores principales: Menesatti, Paolo, Angelini, Claudio, Pallottino, Federico, Antonucci, Francesca, Aguzzi, Jacopo, Costa, Corrado
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435966/
https://www.ncbi.nlm.nih.gov/pubmed/22969337
http://dx.doi.org/10.3390/s120607063
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author Menesatti, Paolo
Angelini, Claudio
Pallottino, Federico
Antonucci, Francesca
Aguzzi, Jacopo
Costa, Corrado
author_facet Menesatti, Paolo
Angelini, Claudio
Pallottino, Federico
Antonucci, Francesca
Aguzzi, Jacopo
Costa, Corrado
author_sort Menesatti, Paolo
collection PubMed
description In the last years the need to numerically define color by its coordinates in n-dimensional space has increased strongly. Colorimetric calibration is fundamental in food processing and other biological disciplines to quantitatively compare samples' color during workflow with many devices. Several software programmes are available to perform standardized colorimetric procedures, but they are often too imprecise for scientific purposes. In this study, we applied the Thin-Plate Spline interpolation algorithm to calibrate colours in sRGB space (the corresponding Matlab code is reported in the Appendix). This was compared with other two approaches. The first is based on a commercial calibration system (ProfileMaker) and the second on a Partial Least Square analysis. Moreover, to explore device variability and resolution two different cameras were adopted and for each sensor, three consecutive pictures were acquired under four different light conditions. According to our results, the Thin-Plate Spline approach reported a very high efficiency of calibration allowing the possibility to create a revolution in the in-field applicative context of colour quantification not only in food sciences, but also in other biological disciplines. These results are of great importance for scientific color evaluation when lighting conditions are not controlled. Moreover, it allows the use of low cost instruments while still returning scientifically sound quantitative data.
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spelling pubmed-34359662012-09-11 RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach Menesatti, Paolo Angelini, Claudio Pallottino, Federico Antonucci, Francesca Aguzzi, Jacopo Costa, Corrado Sensors (Basel) Article In the last years the need to numerically define color by its coordinates in n-dimensional space has increased strongly. Colorimetric calibration is fundamental in food processing and other biological disciplines to quantitatively compare samples' color during workflow with many devices. Several software programmes are available to perform standardized colorimetric procedures, but they are often too imprecise for scientific purposes. In this study, we applied the Thin-Plate Spline interpolation algorithm to calibrate colours in sRGB space (the corresponding Matlab code is reported in the Appendix). This was compared with other two approaches. The first is based on a commercial calibration system (ProfileMaker) and the second on a Partial Least Square analysis. Moreover, to explore device variability and resolution two different cameras were adopted and for each sensor, three consecutive pictures were acquired under four different light conditions. According to our results, the Thin-Plate Spline approach reported a very high efficiency of calibration allowing the possibility to create a revolution in the in-field applicative context of colour quantification not only in food sciences, but also in other biological disciplines. These results are of great importance for scientific color evaluation when lighting conditions are not controlled. Moreover, it allows the use of low cost instruments while still returning scientifically sound quantitative data. Molecular Diversity Preservation International (MDPI) 2012-05-29 /pmc/articles/PMC3435966/ /pubmed/22969337 http://dx.doi.org/10.3390/s120607063 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Menesatti, Paolo
Angelini, Claudio
Pallottino, Federico
Antonucci, Francesca
Aguzzi, Jacopo
Costa, Corrado
RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach
title RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach
title_full RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach
title_fullStr RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach
title_full_unstemmed RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach
title_short RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach
title_sort rgb color calibration for quantitative image analysis: the “3d thin-plate spline” warping approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435966/
https://www.ncbi.nlm.nih.gov/pubmed/22969337
http://dx.doi.org/10.3390/s120607063
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