Paper
23 September 2003 Digital imaging of human skin
Leonid E. Dolotov, Irina A. Kiseleva, Yury P. Sinichkin, Dmitry A. Zimnyakov
Author Affiliations +
Proceedings Volume 5067, Saratov Fall Meeting 2002: Laser Physics and Photonics, Spectroscopy, and Molecular Modeling III; Coherent Optics of Ordered and Random Media III; (2003) https://doi.org/10.1117/12.518497
Event: Saratov Fall Meeting 2002 Laser Physics and Photonics, Spectroscopy, and Molecular Modeling III; Coherent Optics of Ordered and Random Media III, 2002, Saratov, Russian Federation
Abstract
We report a new method for quantitative analysis of erythema and pigmentation of the human skin using of the skin surface image. The erythema and pigmentation indices as well as the polarization degree of backscattered light are applied as the visualization parameters. The comparative analysis of the quality of various types of images is performed. Quality of reconstructed images was estimated in terms of image contrast. It is shown that the skin image contrast for the case of the erythema index as visualization parameter as well as the image contrast for the case of the pigmentation index as visualization parameter exceed at least in three times the similar values for the conventional color image or R, G, B image components. Maximum value of the contrast can be achieved in the case of using the polarization degree as the visualization parameter. The reported method of skin imaging can be used as an objective tool for diagnostics of the skin diseases.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonid E. Dolotov, Irina A. Kiseleva, Yury P. Sinichkin, and Dmitry A. Zimnyakov "Digital imaging of human skin", Proc. SPIE 5067, Saratov Fall Meeting 2002: Laser Physics and Photonics, Spectroscopy, and Molecular Modeling III; Coherent Optics of Ordered and Random Media III, (23 September 2003); https://doi.org/10.1117/12.518497
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Cited by 2 scholarly publications.
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KEYWORDS
Skin

Polarization

Visualization

Image visualization

Image quality

Absorption

Cameras

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