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Tackling Heterogeneous Color Registration: Binning Color Sensors

Myland, Paul ; Babilon, Sebastian ; Khanh, Tran Quoc (2021):
Tackling Heterogeneous Color Registration: Binning Color Sensors. (Publisher's Version)
In: Sensors, 21 (9), e-ISSN 1424-8220,
DOI: 10.26083/tuprints-00019375,
[Article]

Abstract

Intelligent systems for interior lighting strive to balance economical, ecological, and health-related needs. For this purpose, they rely on sensors to assess and respond to the current room conditions. With an augmented demand for more dedicated control, the number of sensors used in parallel increases considerably. In this context, the present work focuses on optical sensors with three spectral channels used to capture color-related information of the illumination conditions such as their chromaticities and correlated color temperatures. One major drawback of these devices, in particular with regard to intelligent lighting control, is that even same-type color sensors show production related differences in their color registration. Standard methods for color correction are either impractical for large-scale production or they result in large colorimetric errors. Therefore, this article shows the feasibility of a novel sensor binning approach using the sensor responses to a single white light source for cluster assignment. A cluster specific color correction is shown to significantly reduce the registered color differences for a selection of test stimuli to values in the range of 0.003–0.008 ∆u'v', which enables the wide use of such sensors in practice and, at the same time, requires minimal additional effort in sensor commissioning.

Item Type: Article
Erschienen: 2021
Creators: Myland, Paul ; Babilon, Sebastian ; Khanh, Tran Quoc
Origin: Secondary publication via sponsored Golden Open Access
Status: Publisher's Version
Title: Tackling Heterogeneous Color Registration: Binning Color Sensors
Language: English
Abstract:

Intelligent systems for interior lighting strive to balance economical, ecological, and health-related needs. For this purpose, they rely on sensors to assess and respond to the current room conditions. With an augmented demand for more dedicated control, the number of sensors used in parallel increases considerably. In this context, the present work focuses on optical sensors with three spectral channels used to capture color-related information of the illumination conditions such as their chromaticities and correlated color temperatures. One major drawback of these devices, in particular with regard to intelligent lighting control, is that even same-type color sensors show production related differences in their color registration. Standard methods for color correction are either impractical for large-scale production or they result in large colorimetric errors. Therefore, this article shows the feasibility of a novel sensor binning approach using the sensor responses to a single white light source for cluster assignment. A cluster specific color correction is shown to significantly reduce the registered color differences for a selection of test stimuli to values in the range of 0.003–0.008 ∆u'v', which enables the wide use of such sensors in practice and, at the same time, requires minimal additional effort in sensor commissioning.

Journal or Publication Title: Sensors
Journal volume: 21
Number: 9
Collation: 16 Seiten
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Light Technology
Date Deposited: 26 Aug 2021 12:10
DOI: 10.26083/tuprints-00019375
Official URL: https://tuprints.ulb.tu-darmstadt.de/19375
URN: urn:nbn:de:tuda-tuprints-193757
Additional Information:

Keywords: color sensing; indoor lighting; nano-optical interference filters; color correction; color sensor binning

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