A liquid crystal tunable filter based shortwave infrared spectral imaging system: Design and integration

Weilin Wang, Changying Li, Ernest W. Tollner, Glen C. Rains, Ronald D. Gitaitis

研究成果: ジャーナルへの寄稿学術誌査読

36 被引用数 (Scopus)

抄録

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.

本文言語英語
ページ(範囲)126-134
ページ数9
ジャーナルComputers and Electronics in Agriculture
80
DOI
出版ステータス出版済み - 1月 2012

!!!All Science Journal Classification (ASJC) codes

  • 林業
  • 農業および作物学
  • コンピュータ サイエンスの応用
  • 園芸学

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