Parametric modeling of NIR and SWIR absorbance spectra for dye mixtures in fabrics using Gaussian functions

R. Viger; S. Ramsey; T. Mayo; S. G. Lambrakos

doi:10.1117/12.2528261

9 September 2019 Parametric modeling of NIR and SWIR absorbance spectra for dye mixtures in fabrics using Gaussian functions

R. Viger, S. Ramsey, T. Mayo, S. G. Lambrakos

Author Affiliations +

Proceedings Volume 11129, Infrared Sensors, Devices, and Applications IX; 111290Q (2019) https://doi.org/10.1117/12.2528261
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

This study describes parametric modeling of near-infrared (NIR, 0.7-0.9 μm) and shortwave infrared (SWIR, 0.9-1.7 μm) absorbance spectra, which is for optimizing NIR-SWIR reflectance of dyed fabrics with respect to given illuminations and background environments. The parametric models are linear combinations of gaussian functions, which are for modeling dyes in fabric whose absorption spectra span the NIR/SWIR spectral range. In general, decomposition of an absorbance spectrum in terms of linear combinations of gaussain functions is not unique. This suggests investigatng what are optimal linear combinations of gaussian functions for modeling given spectra. Prototype modeling is applied to NIR/SWIR absorbing dyes, and their mixtures, in fabric samples, which consist of a cotton blend. The results of this study demonstrate parametric modeling using linear combinations of gaussian functions for simulating NIR/SWIR absorbance spectra, which are for variable dye and dye blend concentrations in fabrics.

Citation Download Citation

R. Viger, S. Ramsey, T. Mayo, and S. G. Lambrakos "Parametric modeling of NIR and SWIR absorbance spectra for dye mixtures in fabrics using Gaussian functions", Proc. SPIE 11129, Infrared Sensors, Devices, and Applications IX, 111290Q (9 September 2019); https://doi.org/10.1117/12.2528261

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