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

Brian Walker; Thomas Lu; Tien-Hsin Chao

doi:10.1117/12.910741

9 February 2012 Intelligent image analysis for image-guided hair removal and skin therapy

Brian Walker, Thomas Lu, Tien-Hsin Chao

Proceedings Volume 8207, Photonic Therapeutics and Diagnostics VIII; 820707 (2012) https://doi.org/10.1117/12.910741
Event: SPIE BiOS, 2012, San Francisco, California, United States

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.

Citation Download Citation

Brian Walker, Thomas Lu, and Tien-Hsin Chao "Intelligent image analysis for image-guided hair removal and skin therapy", Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 820707 (9 February 2012); https://doi.org/10.1117/12.910741

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