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Proceedings Paper

Semi-automatic detection of skin malformations by analysis of spectral images
Author(s): U. Rubins; J. Spigulis; L. Valeine; A. Berzina
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Paper Abstract

The multi-spectral imaging technique to reveal skin malformations has been described in this work. Four spectral images taken at polarized monochromatic LED illumination (450nm, 545nm, 660nm and 940 nm) and polarized white LED light imaged by CMOS sensor via cross-oriented polarizing filter were analyzed to calculate chromophore maps. The algorithm based on skin color analysis and user-defined threshold selection allows highlighting of skin areas with predefined chromophore concentration semi-automatically. Preliminary results of clinical tests are presented.

Paper Details

Date Published: 18 June 2013
PDF: 6 pages
Proc. SPIE 8798, Clinical and Biomedical Spectroscopy and Imaging III, 87980S (18 June 2013); doi: 10.1117/12.2032522
Show Author Affiliations
U. Rubins, Univ. of Latvia (Latvia)
J. Spigulis, Univ. of Latvia (Latvia)
L. Valeine, Beauty Clinic Altera Victoria (Latvia)
A. Berzina, The Clinic of Laser Plastics (Latvia)

Published in SPIE Proceedings Vol. 8798:
Clinical and Biomedical Spectroscopy and Imaging III
Volker Deckert; Nirmala Ramanujam, Editor(s)

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