کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
85208 | 158929 | 2012 | 9 صفحه PDF | دانلود رایگان |

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.
► A liquid crystal tunable filter (LCTF) based shortwave infrared (SWIR) spectral imaging system.
► The system mainly consisted of an LCTF, an InGaAs camera, a SWIR lens, and an illumination unit.
► The system can capture hyperspectral or multispectral images in the spectral range of 900–1700 nm.
► The methodologies for designing the LCTF-based spectral imaging system were introduced in detail.
Journal: Computers and Electronics in Agriculture - Volume 80, January 2012, Pages 126–134