Abstract
Information about the relative depth of melanin pigment in the skin is very important when estimating the ability of cosmetics to improve pigmentation. Melanin at different depths from the skin surface produces different images in ultraviolet and infrared photos. Based on this knowledge, a method is developed together with an instrument for estimating the relative depth of melanin using a series of multispectral images obtained at different wavelengths. The present work proposes a method for quantifying, classifying, and displaying pigment density.