Computational hair quality categorization in lower magnifications

Barmak Heshmat; Hayato Ikoma; Ik Hyun Lee; Krishna Rastogi; Ramesh Raskar

doi:10.1117/12.2078027

10 March 2015 Computational hair quality categorization in lower magnifications

Barmak Heshmat, Hayato Ikoma, Ik Hyun Lee, Krishna Rastogi, Ramesh Raskar

Proceedings Volume 9333, Biomedical Applications of Light Scattering IX; 93330Z (2015) https://doi.org/10.1117/12.2078027
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

We take advantage of human hair specific geometry to visualize sparse submicron cuticle peelings with highly oblique tip-side illumination. We show that the statistics of these features can directly estimate hair quality in much lower magnifications (down to 20^x) with less powerful objectives when the features themselves are below the system resolution. Our technique has strong potential for lower cost, portable, and autonomous hair diagnostic apparatuses.

Citation Download Citation

Barmak Heshmat, Hayato Ikoma, Ik Hyun Lee, Krishna Rastogi, and Ramesh Raskar "Computational hair quality categorization in lower magnifications", Proc. SPIE 9333, Biomedical Applications of Light Scattering IX, 93330Z (10 March 2015); https://doi.org/10.1117/12.2078027

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