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Scale-sensitive fractal analysis using the patchwork method for the assessment of skin roughness
K Articus1, C A Brown, K P Wilhelm
1proDERM Institute for Applied Dermatological Research, Schenefeld/Hamburg, Germany.
Summary
The patchwork method, a new algorithm for analyzing skin topography, provides results comparable to traditional 2-D analysis. This advanced technique utilizes full 3-D data for improved cosmetic product development.
Area of Science:
- Dermatology
- Cosmetic Science
- Image Analysis
Background:
- Quantifying skin surface structures like roughness and wrinkles is crucial for cosmetic product development.
- Advancements in 3-D surface data acquisition necessitate new analytical algorithms.
Purpose of the Study:
- To evaluate the efficacy of the patchwork method for analyzing three-dimensional (3-D) skin topography.
- To compare the patchwork method with conventional two-dimensional (2-D) profilometric analysis.
Main Methods:
- The patchwork method was applied to 24 skin topographic data sets.
- Data sets were collected before and after applying a 15% glycerol solution to volunteers' skin.
- Conventional 2-D profilometric analysis was also performed for comparison.
Main Results:
- Skin roughness decreased by 20.8% with conventional analysis and 23.3% with the patchwork method after glycerol application.
- Both methods showed similar trends in skin roughness reduction, with no statistically significant differences.
Conclusions:
- The patchwork method is applicable to skin data, yielding results comparable to conventional 2-D analysis.
- Advantages of the patchwork method include utilizing complete topographic information, eliminating the need for filtering, and being independent of skin anisotropy.