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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.
In: Sensors, 2021, 21 (9)
doi: 10.26083/tuprints-00019375
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Myland, Paul ; Babilon, Sebastian ; Khanh, Tran Quoc
Art des Eintrags: Zweitveröffentlichung
Titel: Tackling Heterogeneous Color Registration: Binning Color Sensors
Sprache: Englisch
Publikationsjahr: 2021
Publikationsdatum der Erstveröffentlichung: 2021
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Sensors
Jahrgang/Volume einer Zeitschrift: 21
(Heft-)Nummer: 9
Kollation: 16 Seiten
DOI: 10.26083/tuprints-00019375
URL / URN: https://tuprints.ulb.tu-darmstadt.de/19375
Zugehörige Links:
Herkunft: Zweitveröffentlichung aus gefördertem Golden Open Access
Kurzbeschreibung (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.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-193757
Zusätzliche Informationen:

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

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Lichttechnik (ab Okt. 2021 umbenannt in "Adaptive Lichttechnische Systeme und Visuelle Verarbeitung")
Hinterlegungsdatum: 26 Aug 2021 12:10
Letzte Änderung: 01 Sep 2021 10:29
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