Guided Hair Removal with Laser Laser hair removal is a popular nonsurgical aesthetic operation, where the aim is to remove 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. We propose a feature based hair region localization method by using machine learning techniques.
Features with low computational complexity have been defined in order to discriminate hair and skin regions. Hair and skin region classification performances of different
machine learning techniques have been tested and compared. Test results obtained from the proposed technique
showed success in the detection of hair and skin regions. It has been evaluated that the proposed method can be used in real-time
laser hair removal devices with a low computational complexity.
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