Skin color classification of Koreans using clustering

Abstract

Background/purpose: Skin color is used as an index for diagnosing and predicting skin irritation, dermatitis, and skin conditions because skin color changes based on various factors. Therefore, a new method for consistently and accurately evaluating skin color while overcoming the limitations of the existing skin color evaluation method was proposed, and its usefulness was demonstrated.Methods: Skin color was quantified using the RGB (Red, Green, Blue), HSV (Hue Saturation Value), CIELab, and YCbCr color spaces in the acquired Korean skin images, which were classified through clustering. In addition, the classification performances of the existing visual scoring method and the proposed skin color classification method were compared and analyzed using multinomial logistic regression, support vector machine, K-nearest neighbor, and random forest.Results: After quantifying the skin color through the color space conversion of the skin image, the skin color classification performance according to the number of quantified features and the classifier was verified. In addition, the usefulness of the proposed classification method was confirmed by comparing its classification performance with that of the existing skin color classification method. Conclusion:In this study, a method was proposed to objectively classify skin color values quantified from skin images of Koreans acquired using a digital camera through clustering. To verify the proposed method, its classification performance was compared with that of the existing classification method, and an optimized classification method was presented for the classification of Korean skin color. Thus, the proposed method can objectively classify skin color and can be used as a cornerstone in research to quantify skin color and establish objective classification criteria.

Hyperspectral imaging‐based erythema classification in atopic dermatitis

“…18 A dark reference image was acquired when the camera shutter of the HSI system was closed to account for the internal noise caused by the dark current, and a white reference image was obtained using a 95% white reference panel (SG3151-U, IMEC, Leuven, Belgium) to consider the distribution of light immediately after imaging the target area. Subsequently, the relative reflectance image I ref was obtained using Equation (1).…”

“…In clinical practice, visual assessment (VA) by experienced dermatologists is the gold standard for evaluating skin color‐related skin lesions such as erythema. However, VA is subjective and not ideal because it depends significantly on human factors, including the experience and vision of the dermatologist performing the assessment 1–4 . Therefore, investigation have been conducted using various technologies to objectively evaluate erythema.…”

Psoriasis severity classification based on adaptive multi-scale features for multi-severity disease

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