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Characterising the variations in ethnic skin colours: a new calibrated data base for human skin
- Source :
- Skin Research and Technology, SKIN RESEARCH AND TECHNOLOGY, Xiao, K, Yates, J, Zardawi, F, Sueeprasan, S, Liao, N, Gill, L, Li, C & Wuerger, S 2017, ' Characterising the variations in ethnic skin colours : A new calibrated data base for human skin ', Skin Research and Technology . https://doi.org/10.1111/srt.12295
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- Background Accurate skin colour measurements are important for numerous medical applications including the diagnosis and treatment of cutaneous disorders and the provision of maxillofacial soft tissue prostheses. Methods In this study, we obtained accurate skin colour measurements from four different ethnic groups (Caucasian, Chinese, Kurdish, Thai) and at four different body locations (Forehead, cheek, inner arm, back of hand) with a view of establishing a new skin colour database for medical and cosmetic applications. Skin colours are measured using a spectrophotometer and converted to a device-independent standard colour appearance space (CIELAB) where skin colour is expressed as values along the three dimensions: Lightness L*, Redness a* and Yellowness b*. Skin colour differences and variation are then evaluated as a function of ethnicity and body location. Results We report three main results: (1) When plotted in a standard colour appearance space (CIELAB), skin colour distributions for the four ethnic groups overlap significantly, although there are systematic mean differences. Between ethnicities, the most significant skin colour differences occur along the yellowness dimension, with Thai skin exhibiting the highest yellowness (b*) value and Caucasian skin the lowest value. Facial redness (a*) is invariant across the four ethnic groups. (2) Between different body locations, there are significant variations in redness (a*), with the forehead showing the highest redness value and the inner arm the lowest. (3) The colour gamut is smallest in the Chinese sample and largest in the Caucasian sample, with the Chinese gamut lying entirely the Caucasian gamut. Similarly, the largest variability in skin tones is found in the Caucasian group, and the smallest in the Chinese group. Conclusion Broadly speaking, skin colour variation can be explained by two main factors: individual differences in lightness and yellowness are mostly due to ethnicity, whereas differences in redness are primarily due to different body locations. Variations in lightness are more idiosyncratic probably reflecting the large influence of environmental factors such as exposure to sun.
- Subjects :
- Adult
Male
Lightness
medicine.medical_specialty
Adolescent
Databases, Factual
Ethnic group
Skin Pigmentation
Human skin
Dermatology
Cutaneous Disorders
Sensitivity and Specificity
01 natural sciences
010309 optics
Skin colour differences
Young Adult
030207 dermatology & venereal diseases
03 medical and health sciences
0302 clinical medicine
Facial redness
Skin colour variation
0103 physical sciences
Ethnicity
medicine
Humans
Skin appearance
Calibrated skin data base
Body location
Aged
Mathematics
Skin colour
integumentary system
Reproducibility of Results
Middle Aged
Colour space
3. Good health
Surgery
Skin variation
medicine.anatomical_structure
Calibration
Forehead
Colorimetry
Female
Subjects
Details
- ISSN :
- 0909752X
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- Skin Research and Technology
- Accession number :
- edsair.doi.dedup.....5b30f6d000e031c1c2479c64ee7686ee
- Full Text :
- https://doi.org/10.1111/srt.12295