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Proceedings Paper

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

Paper Details

Date Published: 9 February 2012
PDF: 11 pages
Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 820707 (9 February 2012); doi: 10.1117/12.910741
Show Author Affiliations
Brian Walker, Mt. San Antonio College (United States)
Thomas Lu, Jet Propulsion Lab. (United States)
Tien-Hsin Chao, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 8207:
Photonic Therapeutics and Diagnostics VIII
Anita Mahadevan-Jansen; Andreas Mandelis; Kenton W. Gregory; Nikiforos Kollias; Hyun Wook Kang; Henry Hirschberg; Melissa J. Suter; Brian Jet-Fei Wong; Justus F. Ilgner; Stephen Lam; Bodo E. Knudsen; Steen Madsen; E. Duco Jansen; Bernard Choi; Guillermo J. Tearney; Laura Marcu; Haishan Zeng; Matthew Brenner; Krzysztof Izdebski, Editor(s)

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