Abstract
This paper analyses the properties of human skin, when the light source from different angles and positions was applied. It answers the question how the tissue appearance varies and how the changes of radiance distribution can be observed on multi-spectral images. As long as they contain raw data, that wasn’t changed by any postprocessing algorithm, they directly represent light spectrum and its intensity. All images were taken at wavelengths ranging from 400nm to 720nm with step 16nm long. As the next experiment the reflectance spectrum of healthy and diseased tissue was compared. Due to fluorophore concentration and utilizing multi-spectra images, it was possible to unambiguously determine cancerous part of human skin tissue.
Supported by Ministry of Science and Higher Education grant R13 046 02.
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Zacher, A. (2010). The Spectral Analysis of Human Skin Tissue Using Multi-spectral Images. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_46
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DOI: https://doi.org/10.1007/978-3-642-15907-7_46
Publisher Name: Springer, Berlin, Heidelberg
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