Digital Dermatoscopy Method for Human Skin Roughness Analysis

Abstract

Abstract. In this study we propose a digital dermatoscopy method to measure the human skin roughness. By using this method we eliminate the use of silicon replica. Digital dermatoscopy consists of handheld digital microscope, image processing and information extraction of skin roughness level. To reduce the noise due to the variation of reflection factor on the skin we use median filter. Hence, by Fourier transform the skin texture is imaged in terms of 2D frequencyspatial distribution. Skin roughness is determined from its entropy, where the roughness level is proportional to the entropy. Three types of experiment have been performed by evaluating: (i) the skin replicas; (ii) young and elderly skin; and (iii) seven volunteers treated by anti wrinkle cosmetic in three weeks period. We find for the first and second experiment that our system did manage to quantify the roughness, while on the third experiment, six of seven volunteers, the roughness are succeeded to be identified.

PEMANFAATAN LIMBAH KULIT JERUK NIPIS (Citrus aurantifolia) DALAM FORMULA SEDIAAN GEL SEBAGAI ANTI-WRINKLE

“…Adapun bagian kulit jeruk nipis yang akan dimanfaatkan dalam penelitian ini Flavonoid merupakan salah satu zat metabolit sekunder yang terdapat pada jeruk dan kulit jeruk yang berperan sebagai antioksidan, penghambat enzim tirosinase dan juga bekerja pada bagian akhir dari jalur oksidatif melanogenesis (4) . Menurut beberapa penelitian, ekstrak kulit buah jeruk nipis diketahui memiliki aktivitas antioksidan, dan antikolinesterase (5) .…”

Comparative analysis of Median filter family for Removing High-Density Noise in Magnetic Resonance Images

“…Standard Median Filter (SMF) is a nonlinear filter, which works on order statistics [12]. The main advantages of the median filter are its speed, computational simplicity, and capability of preserving image edges and details.…”

Roughness preserving filter design to remove spatial noise from stereoscopic skin images for stable haptic rendering

“…The skin surface naturally provides clinical clues for symptoms of skin disorders that may affect the content of water, color, and roughness of the skin . For instance, skin aging or skin diseases such as atopic dermatitis and psoriasis can be determined by the roughness of an individual's skin surface . Therefore, dermatologists and scientists believe that skin surface roughness is an important factor in both skin care and skin disease diagnosis.…”