Independent component analysis applications on THz sensing and imaging

Soner Balci; Alexander Maleski; Matheus Mello Nascimento; Elizabath Philip; Ju-Hyung Kim; Patrick Kung; Seongsin M. Kim

doi:10.1117/12.2228925

26 May 2016 Independent component analysis applications on THz sensing and imaging

Soner Balci, Alexander Maleski, Matheus Mello Nascimento, Elizabath Philip, Ju-Hyung Kim, Patrick Kung, Seongsin M. Kim

Proceedings Volume 9854, Image Sensing Technologies: Materials, Devices, Systems, and Applications III; 98540K (2016) https://doi.org/10.1117/12.2228925
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

We report Independent Component Analysis (ICA) technique applied to THz spectroscopy and imaging to achieve a blind source separation. A reference water vapor absorption spectrum was extracted via ICA, then ICA was utilized on a THz spectroscopic image in order to clean the absorption of water molecules from each pixel. For this purpose, silica gel was chosen as the material of interest for its strong water absorption. The resulting image clearly showed that ICA effectively removed the water content in the detected signal allowing us to image the silica gel beads distinctively even though it was totally embedded in water before ICA was applied.

Citation Download Citation

Soner Balci, Alexander Maleski, Matheus Mello Nascimento, Elizabath Philip, Ju-Hyung Kim, Patrick Kung, and Seongsin M. Kim "Independent component analysis applications on THz sensing and imaging", Proc. SPIE 9854, Image Sensing Technologies: Materials, Devices, Systems, and Applications III, 98540K (26 May 2016); https://doi.org/10.1117/12.2228925

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