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Accuracy and precision of smartphone colorimetry

A comparative analysis in RGB, HSV, and Cielab color spaces for archaeological research

Bibliographic Data

ID19553758
AuthorsYaowarat Sirisathitkul (0000-0003-2459-0730, Walailak University), Natthinee Dinmeung (Walailak University), Wannasarn Noonsuk (0009-0009-0091-9125), Wannasan Noonsuk (California State University System), Chitnarong Sirisathitkul (0000-0002-7837-3515, Walailak University, corresponding author)
Year2025
Volume11
Issue1
Publication date2025-12-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSTAR Science & Technology of Archaeological Research (JOURNAL)
Journal identifiersISSN: 2054-8923 • E-ISSN: 2054-8923
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/20548923.2024.2444168
OpenAlexW4406620440
LanguageEN
Citations received1
References cited29

This study evaluates the accuracy and precision of color measurements obtained from digital images captured using smartphone cameras, validated against standard color cards under controlled lighting conditions. RGB (Red, Green, Blue) and HSV (Hue, Saturation, Value) parameters were extracted using the Colorimeter application (app) on an iPhone and the PineTools program on a computer. Both methods demonstrated high precision, as indicated by small standard deviations in repeated measurements. Significant deviations from Pantone reference values were also observed in the overestimation of S and underestimation of V values. Notably, the Color Grab app on an Android phone exhibited superior accuracy in extracting H and V values compared to the iPhone. Additionally, the CIELAB parameters measured by the Android app were comparable to those obtained from a portable colorimeter. These findings underscore the utility of smartphone colorimetry for precise on-site color classification, with significant potential applications in cultural heritage and archaeology

Chromaticity · Color difference · Color measurement · Color space · Colorimeter · Colorimetry · Computer vision · HSL and HSV · Hue · Optics · Physics · RGB color model · Color Science and Applications · Computer Science · Conservation Techniques and Studies · Cultural Heritage Materials Analysis · Mathematics · Artificial Intelligence

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1
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