Presentation + Paper
27 May 2022 Development of images multispectral processing for the skin cancer early diagnostics
Kirill Zaichenko, Boris Gurevich
Author Affiliations +
Abstract
The recent development of the modern optical-electronic, especially spectroscopic technologies opened the possibilities of multispectral processing image processing for the analysis of the state of different biological objects. The human skin is among such objects. Fast foundation and diagnostics the skin lesions are the very actual problem of the modern medicine. We have proposed to realize the skin lesion sub-images multispectral processing method. Our approach means the conversion of the initial polychromic image into the series of the monochromic sub-images, each of which represents the light intensity distribution at one of the selected wavelengths. Hence, the bigger number of the wavelengths we use, the larger amount of the spectral information can be obtained regarding the studied bio-object. The acousto-optic tunable filters have been proposed to use as selective elements for multispectral processing. The experimental installation has been developed, with the software-controlled light source on the basis of the LED set. The functional circuit of the installation is represented as well as the results of the experiments carried out at it. For example, the experiments of the hand skin areas images multispectral processing at different persons in the light spectral range of 450…815 nm. The experiments results confirmed the operation ability of the installation as well as possibility to form the necessary set of the studied skin areas sub-images.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kirill Zaichenko and Boris Gurevich "Development of images multispectral processing for the skin cancer early diagnostics", Proc. SPIE 12144, Biomedical Spectroscopy, Microscopy, and Imaging II, 121440E (27 May 2022); https://doi.org/10.1117/12.2624329
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KEYWORDS
Skin

Diagnostics

Image processing

Skin cancer

Multispectral imaging

Light sources

Photodetectors

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