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Proceedings Paper

Evaluation and analysis for spectral reflectance imaging of human skin
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Paper Abstract

We estimated and analyzed the reflectance spectra of human skin at each pixel taken by a multi-band imaging system, and compared it with the RGB three bands imaging system. The multi-band camera can capture more than three bands, and estimate the spectral reflectance using more than three eigenvectors of principal component. In this paper, we implemented a six bands camera system, in which color of the light source is modulated for rapid measurement. The system consists of the RGB three bands digital camera and two different light sources which are strobe light and strobe light with optical filter. We captured the skin twice using each light source respectively. As a result, we could obtain six color bands images. We estimated the spectral reflectance image based on Wiener estimation method, by using the captured multi-band image and the RGB image respectively. Then, we analyzed and evaluated two spectral reflectance images by using principal component analysis. The result shows that that the reflectance spectra estimated from three-band image do not have enough accuracy to analyze the skin color quantitatively.

Paper Details

Date Published: 17 January 2005
PDF: 8 pages
Proc. SPIE 5667, Color Imaging X: Processing, Hardcopy, and Applications, (17 January 2005); doi: 10.1117/12.585740
Show Author Affiliations
Kenji Kamimura, Chiba Univ. (Japan)
Norimichi Tsumura, Chiba Univ. (Japan)
Toshiya Nakaguchi, Chiba Univ. (Japan)
Yoichi Miyake, Chiba Univ. (Japan)


Published in SPIE Proceedings Vol. 5667:
Color Imaging X: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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