Novel digital image analysis using fractal dimension for assessment of skin radiance.
Adolescent
Adult
Aged
Algorithms
Color
Ethnicity
/ statistics & numerical data
Expert Testimony
Female
Fractals
Humans
Image Processing, Computer-Assisted
/ instrumentation
Luminescence
Middle Aged
Perception
/ physiology
Skin
/ anatomy & histology
Skin Care
/ statistics & numerical data
Skin Physiological Phenomena
Young Adult
fractal analysis
optical texture
perception
skincare
Journal
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
ISSN: 1600-0846
Titre abrégé: Skin Res Technol
Pays: England
ID NLM: 9504453
Informations de publication
Date de publication:
Jul 2019
Jul 2019
Historique:
received:
04
12
2018
accepted:
12
01
2019
pubmed:
17
2
2019
medline:
25
1
2020
entrez:
17
2
2019
Statut:
ppublish
Résumé
Despite a strong desire to quantify skin radiance in the field of cosmetics, there does not exist a robust method to characterize it. Classical shine that quantifies the specular reflection from skin has been commonly used as the metric to characterize radiance. However, it does not always correlate with the perceived radiance as there are many other parameters that inform radiance perception including spatial distribution of shine and color homogeneity. In this work, we propose a novel method using fractal analysis to better characterize radiance by considering the spatial heterogeneity of pixel intensities as well as color evenness. A simulated image library (nine images) from very dull to very bright was created using bare face images of 20 panelists. Product images taken post-product usage were ranked along this library by finding the image in the library that most resembles the product image by our algorithm as well as experts. Additionally, classical shine and color measurements were made as benchmarks. Our results confirm a strong correlation (R Fractal dimension calculation offers higher sensitivity and resolution compared with other descriptors such as classical shine or color heterogeneity. In cases where the image rank is dominated by pixel intensities rather than color evenness, the image ranks resulting from calculating the fractal dimension is comparable with use of classical shine as the ranking parameter.
Sections du résumé
BACKGROUND
BACKGROUND
Despite a strong desire to quantify skin radiance in the field of cosmetics, there does not exist a robust method to characterize it. Classical shine that quantifies the specular reflection from skin has been commonly used as the metric to characterize radiance. However, it does not always correlate with the perceived radiance as there are many other parameters that inform radiance perception including spatial distribution of shine and color homogeneity.
MATERIALS AND METHODS
METHODS
In this work, we propose a novel method using fractal analysis to better characterize radiance by considering the spatial heterogeneity of pixel intensities as well as color evenness. A simulated image library (nine images) from very dull to very bright was created using bare face images of 20 panelists. Product images taken post-product usage were ranked along this library by finding the image in the library that most resembles the product image by our algorithm as well as experts. Additionally, classical shine and color measurements were made as benchmarks.
RESULTS
RESULTS
Our results confirm a strong correlation (R
CONCLUSION
CONCLUSIONS
Fractal dimension calculation offers higher sensitivity and resolution compared with other descriptors such as classical shine or color heterogeneity. In cases where the image rank is dominated by pixel intensities rather than color evenness, the image ranks resulting from calculating the fractal dimension is comparable with use of classical shine as the ranking parameter.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
564-571Informations de copyright
© 2019 John Wiley & Sons A/S.Published by John Wiley & Sons Ltd.