Semi-automatic detection of skin malformations by analysis of spectral images

U. Rubins; J. Spigulis; L. Valeine; A. Berzina

doi:10.1117/12.2032522

18 June 2013 Semi-automatic detection of skin malformations by analysis of spectral images

U. Rubins, J. Spigulis, L. Valeine, A. Berzina

Proceedings Volume 8798, Clinical and Biomedical Spectroscopy and Imaging III; 87980S (2013) https://doi.org/10.1117/12.2032522
Event: European Conferences on Biomedical Optics, 2013, Munich, Germany

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.

Citation Download Citation

U. Rubins, J. Spigulis, L. Valeine, and A. Berzina "Semi-automatic detection of skin malformations by analysis of spectral images", Proc. SPIE 8798, Clinical and Biomedical Spectroscopy and Imaging III, 87980S (18 June 2013); https://doi.org/10.1117/12.2032522

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