| dc.contributor.author |
Wang, W |
en |
| dc.contributor.author |
Li, C |
en |
| dc.contributor.author |
Tollner, EW |
en |
| dc.contributor.author |
Rains, GC |
en |
| dc.contributor.author |
Gitaitis, RD |
en |
| dc.date.accessioned |
2014-06-06T06:51:35Z |
|
| dc.date.available |
2014-06-06T06:51:35Z |
|
| dc.date.issued |
2012 |
en |
| dc.identifier.issn |
01681699 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.compag.2011.07.012 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/5580 |
|
| dc.subject |
Food quality and safety |
en |
| dc.subject |
Hyperspectral imaging |
en |
| dc.subject |
LCTF |
en |
| dc.subject |
Nondestructive inspection |
en |
| dc.subject |
SWIR |
en |
| dc.subject |
System design |
en |
| dc.subject.other |
Food quality and safeties |
en |
| dc.subject.other |
Hyperspectral Imaging |
en |
| dc.subject.other |
LCTF |
en |
| dc.subject.other |
Non destructive inspection |
en |
| dc.subject.other |
SWIR |
en |
| dc.subject.other |
Data acquisition |
en |
| dc.subject.other |
Design |
en |
| dc.subject.other |
Ethanol |
en |
| dc.subject.other |
Food safety |
en |
| dc.subject.other |
Imaging systems |
en |
| dc.subject.other |
Liquid crystals |
en |
| dc.subject.other |
Sugars |
en |
| dc.subject.other |
Systems analysis |
en |
| dc.subject.other |
Infrared radiation |
en |
| dc.subject.other |
computer simulation |
en |
| dc.subject.other |
crystal |
en |
| dc.subject.other |
data acquisition |
en |
| dc.subject.other |
design |
en |
| dc.subject.other |
filter |
en |
| dc.subject.other |
food quality |
en |
| dc.subject.other |
liquid |
en |
| dc.subject.other |
safety |
en |
| dc.subject.other |
shortwave radiation |
en |
| dc.subject.other |
software |
en |
| dc.subject.other |
spatial analysis |
en |
| dc.subject.other |
spectral analysis |
en |
| dc.subject.other |
sugar |
en |
| dc.subject.other |
wheat |
en |
| dc.subject.other |
Triticum aestivum |
en |
| dc.title |
A liquid crystal tunable filter based shortwave infrared spectral imaging system: Design and integration |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1016/j.compag.2011.07.012 |
en |
| heal.publicationDate |
2012 |
en |
| heal.abstract |
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. © 2011. |
en |
| heal.journalName |
Computers and Electronics in Agriculture |
en |
| dc.identifier.volume |
80 |
en |
| dc.identifier.doi |
10.1016/j.compag.2011.07.012 |
en |
| dc.identifier.spage |
126 |
en |
| dc.identifier.epage |
134 |
en |