Host: The Institute of Image Information and Television Engineers
Skin care has attracted much attention in recent years. This paper proposes a method to measure daily skin health based on a skin texture analysis. Skin texture is composed of sulcus cutis and cristae cutis, and the fineness of the texture shows the skin health. The proposed method detects cristae cutis from a skin image, and measures the daily skin health based on areas of cristae cutis. First, the proposed method uses a smart phone with a close-up lens to obtain a skin image. Next, CLAHE (Contrast Limited Adaptive Histogram Equalization) is applied to the skin image to improve the contrast between sulcus cutis and cristae cutis. Finally, watershed segmentation are used to divide and detect cristae cutis. Daily skin health can be measured by calculating areas of detected cristae cutis. This paper analyzes daily skin health from summer to winter.
