Abstract
Visual learning equity is a health justice effort to increase the diversity of skin color in images used for dermatology education. However, visual assessment of skin color is subjective and varies based on viewers’ personal characteristics and contextual situation. Here, we aim to create an objective measure of assessing skin color using the average red, green, and blue (RGB) color values of image pixels to categorize images. The RGB color model is additive and RGB values increase as skin color lightens from black to white.
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