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

6533b7defe1ef96bd1275f14

RESEARCH PRODUCT

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

Anna Berzina Janis Spigulis Uldis Rubins Lauma Valeine

subject

medicine.medical_specialty CMOS sensor Materials science business.industry Multispectral image Image segmentation Polarizing filter Chromophore Polarizer law.invention Spectral imaging Optics law medicine Monochromatic color business

description

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.

year	journal	country	edition	language
2013-06-18

http://www.scopus.com/inward/record.url?eid=2-s2.0-84899746990&partnerID=MN8TOARS

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