[article]
Titre : |
An image-based mapping of significance and relevance of facial skin colour changes of females living in Thailand |
Type de document : |
texte imprimé |
Auteurs : |
P. Seroul, Auteur ; Remo Campiche, Auteur ; Sarah Gougeon, Auteur ; Marie Cherel, Auteur ; Anthony Vincent Rawlings, Auteur ; Rainer Voegeli, Auteur |
Année de publication : |
2020 |
Article en page(s) : |
p. 99-107 |
Note générale : |
Bibliogr. |
Langues : |
Anglais (eng) |
Tags : |
'Cartographie faciale' Pertinence 'Couleur de peau' Statistiques Thailandaise |
Index. décimale : |
668.5 Parfums et cosmétiques |
Résumé : |
- Objective : There are methods to evaluate skin colour on defined areas over the face but no approach automatically and accurately evaluates skin colour variations on large facial areas, comparing subjects, treatments and/or time points. We propose such an image-based approach to visualize quickly the outcome of clinical studies on colour variations.
- Methods : Among 54 Asian women, one group applied a vehicle twice daily, during 28 days, and the other group an anti-ageing emulsion, taking facial images at baseline and after treatment. Changes in L*a*b* values were studied on four pre-selected facial regions. We also reconstructed average facial images from which the L*a*b* parameters were extracted for every pixel, computing relevance (ΔE) and significance data. Using colour gradients, we mapped these results onto the average facial images.
- Results : After treatment, L*a*b* parameters show no statistically relevant colour changes in the vehicle group. In the ‘active’ group, skin was lighter at the upper cheek and, overall, redness decreased. Relevance and significance maps confirmed no visible colour changes in the vehicle group. In the ‘active’ group, the mapping approach revealed colour changes and their location. Skin became lighter below the eye, cheek and forehead. It was less red below the eyes, on the cheek, jawline and forehead, and generally more yellow.
- Conclusion : Our image-based mapping approach proves to be powerful. It enables us to identify precise facial regions of relevant and statistically significant colour changes after a topical treatment, regions that would have otherwise been undetected. |
Note de contenu : |
- MATERIALS AND METHODS : Subjects and treatment - Acquisition of facial images and pre-processing - Classical determination of L*, a* and b* colour parameters - Image-based mapping of relevance and significance of changes in skin colour
- RESULTS : Classical L*a*b* colour analysis only shows changes for subjects treated with the active formulation - Relevance maps indicate visible colour changes but gives little information on the nature of the changes - Significance maps give a detailed insight on colour changes over time
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DOI : |
10.1111/ics.12593 |
En ligne : |
https://drive.google.com/file/d/1a-e0LZJdU_DTNY2U1EOZLJHjwKnjWrX8/view?usp=drive [...] |
Format de la ressource électronique : |
Pdf |
Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=33684 |
in INTERNATIONAL JOURNAL OF COSMETIC SCIENCE > Vol. 42, N° 1 (02/2020) . - p. 99-107
[article]
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