Skin Condition Estimation Using Mobile Handheld Camera

Abstract

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).

Penentuan Kadar Minyak dan Kekasaran Kulit Wajah dari Citra Mikroskop Digital

“…Pengambilan citra dilakukan dengan meletakkan mikroskop pada kulit wajah lalu memfokuskan terlebih dahulu mikroskop sampai permukaan dan tekstur kulit terlihat dengan jelas. [8]. Pada penelitian ini nantinya juga dilakukan proses validasi dan perbandingan parameter kekasaran terhadap smoothness dan entropi dari ekstraksi ciri citra kulit.…”