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Improving Color Accuracy of Colorimetric Sensors
Accurate measurements of reflectance and color require spectrophotometers with prices often exceeding $3000. Recently, new “color instruments” became available with much lower prices, thanks to the availability of inexpensive colorimetric sensors. We investigated the Node+ChromaPro and the Color Mus...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948641/ https://www.ncbi.nlm.nih.gov/pubmed/29670044 http://dx.doi.org/10.3390/s18041252 |
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author | Kirchner, Eric Koeckhoven, Pim Sivakumar, Keshav |
author_facet | Kirchner, Eric Koeckhoven, Pim Sivakumar, Keshav |
author_sort | Kirchner, Eric |
collection | PubMed |
description | Accurate measurements of reflectance and color require spectrophotometers with prices often exceeding $3000. Recently, new “color instruments” became available with much lower prices, thanks to the availability of inexpensive colorimetric sensors. We investigated the Node+ChromaPro and the Color Muse, launched in 2015 and 2016 by Variable Inc. Both instruments are colorimeters, combining a colorimetric sensor with LED lighting. We investigated color accuracy compared to a high-end spectrophotometer from BYK Gardner. With different sets of samples we find for the Node an average value of dE(CMC) (1:1) = 1.50, and a maximum of 7.86, when comparing with the 45° geometry of the spectrophotometer. Utilizing measurement data on the Spectral Power Distributions of the LEDs, we developed three methods to improve color accuracy as compared to the spectrophotometer data. We used these methods on different sets of samples with various degrees of gloss, both for training the models underlying the methods and for independent tests of model accuracy. Average color accuracy of the Node+ChromaPro improves from dE(CMC) (1:1) = 1.82 to 1.16 with respect to spectrophotometer data. The percentage of samples with dE(CMC) (1:1) < 1.0 increases from 30.9% (uncorrected) to 64%. With the improved color accuracy, these sensors become useful for many more applications. |
format | Online Article Text |
id | pubmed-5948641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59486412018-05-17 Improving Color Accuracy of Colorimetric Sensors Kirchner, Eric Koeckhoven, Pim Sivakumar, Keshav Sensors (Basel) Article Accurate measurements of reflectance and color require spectrophotometers with prices often exceeding $3000. Recently, new “color instruments” became available with much lower prices, thanks to the availability of inexpensive colorimetric sensors. We investigated the Node+ChromaPro and the Color Muse, launched in 2015 and 2016 by Variable Inc. Both instruments are colorimeters, combining a colorimetric sensor with LED lighting. We investigated color accuracy compared to a high-end spectrophotometer from BYK Gardner. With different sets of samples we find for the Node an average value of dE(CMC) (1:1) = 1.50, and a maximum of 7.86, when comparing with the 45° geometry of the spectrophotometer. Utilizing measurement data on the Spectral Power Distributions of the LEDs, we developed three methods to improve color accuracy as compared to the spectrophotometer data. We used these methods on different sets of samples with various degrees of gloss, both for training the models underlying the methods and for independent tests of model accuracy. Average color accuracy of the Node+ChromaPro improves from dE(CMC) (1:1) = 1.82 to 1.16 with respect to spectrophotometer data. The percentage of samples with dE(CMC) (1:1) < 1.0 increases from 30.9% (uncorrected) to 64%. With the improved color accuracy, these sensors become useful for many more applications. MDPI 2018-04-18 /pmc/articles/PMC5948641/ /pubmed/29670044 http://dx.doi.org/10.3390/s18041252 Text en © 2018 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kirchner, Eric Koeckhoven, Pim Sivakumar, Keshav Improving Color Accuracy of Colorimetric Sensors |
title | Improving Color Accuracy of Colorimetric Sensors |
title_full | Improving Color Accuracy of Colorimetric Sensors |
title_fullStr | Improving Color Accuracy of Colorimetric Sensors |
title_full_unstemmed | Improving Color Accuracy of Colorimetric Sensors |
title_short | Improving Color Accuracy of Colorimetric Sensors |
title_sort | improving color accuracy of colorimetric sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948641/ https://www.ncbi.nlm.nih.gov/pubmed/29670044 http://dx.doi.org/10.3390/s18041252 |
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