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Intelligent image analysis for image-guided laser hair removal and skin therapy

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dc.contributor.author Walker, Brian
dc.contributor.author Lu, Thomas
dc.contributor.author Chao, Tien-Hsin
dc.date.accessioned 2013-02-25T21:46:20Z
dc.date.available 2013-02-25T21:46:20Z
dc.date.issued 2012-01-21
dc.identifier.citation SPIE Photonics West, San Francisco, California, January 21-26, 2012 en_US
dc.identifier.clearanceno 12-3202
dc.identifier.uri http://hdl.handle.net/2014/42778
dc.description.abstract We 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. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012. en_US
dc.subject skin therapy en_US
dc.subject laser hair removal en_US
dc.subject image processing en_US
dc.subject hair follicle identification scanning en_US
dc.title Intelligent image analysis for image-guided laser hair removal and skin therapy en_US
dc.type Preprint en_US


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