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Intelligent Image Analysis for Image-Guided Laser Hair Removal and Skin TherapyWe present the development of advanced automatic target recognition (ATR) algorithms for the hair follicles identification in digital skin images to accurately direct the laser beam to remove the hair. The ATR system first performs a wavelet filtering to enhance the contrast of the hair features in the image. The system then extracts the unique features of the targets and sends the features to an Adaboost based classifier for training and recognition operations. The ATR system automatically classifies the hair, moles, or other skin lesion and provides the accurate coordinates of the intended hair follicle locations. The coordinates can be used to guide a scanning laser to focus energy only on the hair follicles. The intended benefit would be to protect the skin from unwanted laser exposure and to provide more effective skin therapy.
Document ID
Document Type
Conference Paper
External Source(s)
Walker, Brian
(Mount San Antonio Coll. Walnut, CA, United States)
Lu, Thomas
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Chao, Tien-Hsin
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 27, 2013
Publication Date
January 21, 2012
Subject Category
Instrumentation And Photography
Meeting Information
SPIE Photonics West(San Francisco, CA)
Distribution Limits
laser hair removal
hair follicle identification scanning
skin therapy
image processing

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