Abstract
This paper presents an analysis method that extracts the features of “skin texture” and “unevenness of skin color” from skin images. We determine the effective features for the evaluation of skin texture using a two-sample t-test on the cheek and underside of the chin. The results show that the total number of cristae cutis as well as the mean and standard deviation of their area are effective features for skin texture analysis. In addition, the maximum value of an a* image as well as the standard deviation and kurtosis value of a b* image are effective features for assessing the unevenness of skin color. The results of tests show that the standard deviation of the area with changing colors is an effective feature for skin texture analysis.
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Tanaka, T., Suzuta, H. (2017). Objective Evaluation of Skin Texture Condition by Image Analysis. In: Goh, J., Lim, C., Leo, H. (eds) The 16th International Conference on Biomedical Engineering. IFMBE Proceedings, vol 61. Springer, Singapore. https://doi.org/10.1007/978-981-10-4220-1_2
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DOI: https://doi.org/10.1007/978-981-10-4220-1_2
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