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Skin Condition Analysis of Facial Image using Smart Device: Based on Acne, Pigmentation, Flush and Blemish

  • Park, Ki-Hong (Division of Convergence Computer & Media, Mokwon University) ;
  • Kim, Yoon-Ho (Division of Convergence Computer & Media, Mokwon University)
  • Received : 2018.12.10
  • Accepted : 2018.12.25
  • Published : 2018.12.31

Abstract

In this paper, we propose a method for skin condition analysis using a camera module embedded in a smartphone without a separate skin diagnosis device. The type of skin disease detected in facial image taken by smartphone is acne, pigmentation, blemish and flush. Face features and regions were detected using Haar features, and skin regions were detected using YCbCr and HSV color models. Acne and flush were extracted by setting the range of a component image hue, and pigmentation was calculated by calculating the factor between the minimum and maximum value of the corresponding skin pixel in the component image R. Blemish was detected on the basis of adaptive thresholds in gray scale level images. As a result of the experiment, the proposed skin condition analysis showed that skin diseases of acne, pigmentation, blemish and flush were effectively detected.

Keywords

Acknowledgement

Supported by : Korea Small and Medium Business Administration

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