Abstract
Skin analysis has potential uses in many fields, including computer assisted diagnosis for dermatology, topical drug efficacy testing for the pharmaceutical industry, and quantitative product comparison for cosmetics. In medicine, skin pores are the openings of hair follicles, oil glands, and sweat glands. There are many skin problems associated with skin pores, such as blackheads which are not dirt and cannot be washed away, enlarged pores which are due to over activity of the sebaceous glands in the skin. In computer-aided skin analysis, skin pores are helpful features for skin image registration, skin texture modeling, and skin statement evaluation. In this paper we mainly focus on image-based skin pores detection problem and propose an integrated solution based on fuzzy c-mean algorithm. In our work, research images include images taking by digital camera with long focus lens and images taking by microscope. A global luminance proportion method will be used for skin image preprocessing because of reflection and interreflection of light on the skin surface. We provide experiments to demonstrate the effective and efficiency of our solution.
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© 2008 Springer-Verlag Berlin Heidelberg
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Zhang, Q., Whangbo, T. (2008). Skin Pores Detection for Image-Based Skin Analysis. In: Fyfe, C., Kim, D., Lee, SY., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2008. IDEAL 2008. Lecture Notes in Computer Science, vol 5326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88906-9_30
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DOI: https://doi.org/10.1007/978-3-540-88906-9_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88905-2
Online ISBN: 978-3-540-88906-9
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