Skin condition estimation using mobile handheld camera

Ji Sang Bae, Jae Ho Jeon, Jae Young Lee, Jong Ok Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


The fairly recent standard of equipping mobile devices with advanced imaging sensors has opened the possibility of conveniently diagnosing skin conditions, anywhere, anytime. For this application, we attempted to estimate skin conditions from a skin image taken by a mobile handheld camera. To estimate the skin conditions, we specifically identified three skin features (pigmentation, pores, and roughness) that can be measured quantitatively from a skin image. The experimental data indicate that the existing thresholding methods are inappropriate for extracting the pigmentation and pore skin features. Thus, we propose a new line-fitting based thresholding method for skin feature detection. We thoroughly evaluated our proposed skin condition estimation method using our skin image database. The experimental results show that our proposed thresholding method can better determine the threshold leading to the most visually plausible detection, when compared to existing methods. We also confirmed that skin conditions can be feasibly estimated using a common mobile handheld camera (for example, a smartphone).

Original languageEnglish
Pages (from-to)776-786
Number of pages11
JournalETRI Journal
Issue number4
Publication statusPublished - 2016 Aug


  • Line-fitting
  • Pigmentation
  • Pore
  • Segmentation
  • Skin image
  • Skin roughness

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Computer Science(all)
  • Electrical and Electronic Engineering


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