Digital Dermatoscopy Method for Human Skin Roughness Analysis
DOI:
https://doi.org/10.5614/itbj.ict.2011.5.1.4Abstract
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 that 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 identify.
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References
Kollias, Nikiforos, Skin Documentation with Multimodal Imaging or Integrated Imaging Approaches, in Bioengineering of The Skin, Vol. II, Klaus-P Wilhem, et al. Ed. New York: Informa Healthcare USA, Inc, pp. 221-246, 2007.
Murphy, R. & Contton, D.W.K., et al., Computer-assisted image analysis of skin surface replicas, British Journal of Dermatology, 124(6), pp. 571-575, 2006.
Suprijanto, Ayu, D., Nadira, V. & Darijanto, S.T., Development of Image Processing for digital Dermatoscopy, Proceeding International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009
El Gammal, Claudia, El Gammal, Stephan & Albert M Klingman, Anatomy of the Skin Surface, in Bioengineering of The Skin, Vol. II, Klaus-P. Wilhelm, et al. Ed. New York : Informa Healthcare USA, Inc, pp. 1-17, 2007.
Bae, Eui Jong, et al., A quantitative assessment of the human skin surface using polarized light digital photography and its dermatologic significance, Skin Research and Technology, January 2010.
Young, I.T., et al., Fundamentals of Image Processing. Faculty of Applied Physics, Pattern Recognition Group, Delft University of Technology, 2000.
Randen, T. & Husoy, J.H., Filtering for Texture Classification: A Comparative Study, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 291-310, April 1999.
Tanaka, Hiromasa, et al., Quantitative evaluation of elderly skin based on digital image analysis, Blackwell Munksgaard Journal Compilation, 14, pp. 192-199, May 2007.
Setaro, Michele & Sparavigna, Adele, Irregularity skin index (ISI): a tool to evaluate skin surface Texture, Skin Research and Technology, 7(3),pp. 159-163, 2001.
