TY - JOUR
T1 - A liquid crystal tunable filter based shortwave infrared spectral imaging system
T2 - Design and integration
AU - Wang, Weilin
AU - Li, Changying
AU - Tollner, Ernest W.
AU - Rains, Glen C.
AU - Gitaitis, Ronald D.
N1 - Funding Information:
This work was funded by the United States Department of Agriculture National Institute of Food and Agriculture Specialty Crop Research Initiative (Award No. 2009-51181-06010), Georgia Food Industry Partnership, and Vidalia Onion Committee. The authors also gratefully acknowledge Mr. Gary Burnham and Mr. Tim Rutland for their assistance in developing this system.
PY - 2012/1
Y1 - 2012/1
N2 - This paper presents the methodology to design and integrate a liquid crystal tunable filter (LCTF) based shortwave infrared (SWIR) spectral imaging system. The system consisted of an LCTF-based SWIR spectral imager, an illumination unit, a frame grabber, and a computer with the data acquisition software. The spectral imager included an InGaAs camera (320 × 256 pixels), an SWIR lens (50. mm, F/1.4), and an LCTF (20. mm aperture). Four multifaceted reflector halogen lamps (35. W, 12 VDC) were used to build the illumination unit. The system was integrated by a LabVIEW program for data acquisition. It can capture hyperspectral or multispectral images of the test object in the spectral range of 900-1700. nm. The system was validated by differentiating sugar from wheat flour, and water from 95% ethanol. The results showed that the system can distinguish these materials in both spectral and spatial domains. This SWIR spectral imaging system could be a potential useful tool for nondestructive inspection of food quality and safety.
AB - This paper presents the methodology to design and integrate a liquid crystal tunable filter (LCTF) based shortwave infrared (SWIR) spectral imaging system. The system consisted of an LCTF-based SWIR spectral imager, an illumination unit, a frame grabber, and a computer with the data acquisition software. The spectral imager included an InGaAs camera (320 × 256 pixels), an SWIR lens (50. mm, F/1.4), and an LCTF (20. mm aperture). Four multifaceted reflector halogen lamps (35. W, 12 VDC) were used to build the illumination unit. The system was integrated by a LabVIEW program for data acquisition. It can capture hyperspectral or multispectral images of the test object in the spectral range of 900-1700. nm. The system was validated by differentiating sugar from wheat flour, and water from 95% ethanol. The results showed that the system can distinguish these materials in both spectral and spatial domains. This SWIR spectral imaging system could be a potential useful tool for nondestructive inspection of food quality and safety.
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U2 - 10.1016/j.compag.2011.07.012
DO - 10.1016/j.compag.2011.07.012
M3 - Article
AN - SCOPUS:84855345544
SN - 0168-1699
VL - 80
SP - 126
EP - 134
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
ER -