Paper
7 December 2017 Image quality enhancement for skin cancer optical diagnostics
Dmitrijs Bliznuks, Ilona Kuzmina, Katrina Bolocko, Alexey Lihachev
Author Affiliations +
Proceedings Volume 10592, Biophotonics—Riga 2017; 105920F (2017) https://doi.org/10.1117/12.2297579
Event: The Second International Conference "Biophotonics-Riga 2017", 2017, Riga, Latvia
Abstract
The research presents image quality analysis and enhancement proposals in biophotonic area. The sources of image problems are reviewed and analyzed. The problems with most impact in biophotonic area are analyzed in terms of specific biophotonic task – skin cancer diagnostics. The results point out that main problem for skin cancer analysis is the skin illumination problems. Since it is often not possible to prevent illumination problems, the paper proposes image post processing algorithm – low frequency filtering. Practical results show diagnostic results improvement after using proposed filter. Along that, filter do not reduces diagnostic results’ quality for images without illumination defects. Current filtering algorithm requires empirical tuning of filter parameters. Further work needed to test the algorithm in other biophotonic applications and propose automatic filter parameter selection.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dmitrijs Bliznuks, Ilona Kuzmina, Katrina Bolocko, and Alexey Lihachev "Image quality enhancement for skin cancer optical diagnostics", Proc. SPIE 10592, Biophotonics—Riga 2017, 105920F (7 December 2017); https://doi.org/10.1117/12.2297579
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Cited by 2 scholarly publications.
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KEYWORDS
Image filtering

Skin

Image quality

Diagnostics

Light emitting diodes

Skin cancer

Sensors

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