Applications of Capacitive Imaging in Human Skin Texture and Hair Analysis

Journal article


Bontozoglou, C. and Xiao, P. (2019). Applications of Capacitive Imaging in Human Skin Texture and Hair Analysis . MDPI Applied Sciences. 10 (1), p. 256.
AuthorsBontozoglou, C. and Xiao, P.
Abstract

This article focuses on the extraction of information from human skin and scalp hair for evaluation of a subject’s condition in the cosmetic and pharmaceutical industries. It uses capacitive images from existing hand-held research equipment and it applies image processing algorithms to expand their possible applications. The literature review introduces the readers into the field of skin research, and it highlights pieces of information that can be extracted by in vivo skin and ex vivo hair measurements. Then, the selected scientific equipment is presented, and Maxwell-based electrostatic simulations are employed to evaluate the measurement apparatus. Image analysis algorithms are suggested for (a) the detection of polygons on the human skin texture, (b) the estimation of wrinkles length and (c) the observation of hair water sorption capabilities by capacitive imaging systems. Finally, experiments are conducted to evaluate the performance of the presented algorithms and the results are compared with the literature. The results indicate that capacitive imaging systems can be used for skin age classification, detection and tracking of skin artifacts (e.g., wrinkles, moles or scars) and calculation of water content in hair samples.

Keywordstexture; skin microrelief; water sorption; aging; hair
Year2019
JournalMDPI Applied Sciences
Journal citation10 (1), p. 256
PublisherMDPI
Digital Object Identifier (DOI)doi:/10.3390/app10010256
Web address (URL)https://doi.org/10.3390/app10010256
Publication dates
Print29 Dec 2019
Publication process dates
Accepted24 Dec 2019
Deposited23 Jan 2020
Publisher's version
License
CC BY 4.0
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/88x48

Publisher's version
applsci-10-00256 (1).pdf
License: CC BY 4.0
File access level: Open

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