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Title: Hair region localization with optical imaging for guided laser hair removal
Authors: Avşar, Murat
Yetik, İmam Şamil
Keywords: Hair region detection
laser hair removal
machine learning
guided laser hair removal device
Issue Date: 2015
Publisher: IEEE
Source: IEEE 12th International Symposium on Biomedical Imaging -- APR 16-19, 2015 -- New York, NY
Series/Report no.: IEEE International Symposium on Biomedical Imaging
Abstract: Laser hair removal is a popular nonsurgical aesthetic operation, where the aim is to remove unwanted hair permanently by damaging the hair follicle and shaft thermally. However, laser affects the superficial skin layers in addition to hair follicles causing health risks. Side effects of laser-assisted hair removal can be minimized by directing the laser beam only to the detected hair regions. This study proposes a feature-based hair region localization method using machine learning techniques, a first in this area. Features with low computational complexity have been proposed in order to discriminate hair and skin regions. Hair and skin region classification performances of different machine learning techniques have been applied and compared. Quantitative and visual results obtained from the proposed technique showed success in the detection of hair and skin regions. We concluded that the proposed method can be used in real-time guided laser hair removal devices.
ISBN: 978-1-4799-2374-8
ISSN: 1945-7928
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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