Journal
OPTICS EXPRESS
Volume 29, Issue 21, Pages 34835-34849Publisher
OPTICAL SOC AMER
DOI: 10.1364/OE.441213
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- Iowa State University (College of Engineering Exploratory Research Grant)
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This paper presents a 4D line-scan hyperspectral imager that integrates 3D geometrical measurement and spectral detection with high spectral resolution and spatial accuracy. The system achieves a spectral resolution of 2.8 nm and a spatial root-mean-square-error of 0.0895 mm. It demonstrates potential applications in the food industry, such as inspecting the quality and defects of spinach leaves based on spectral and depth data.
This paper proposes a 4D line-scan hyperspectral imager that combines 3D geometrical measurement and spectral detection with high spectral resolution and spatial accuracy. We investigated the geometrical optical model of a camera attaching with a spectrograph, theoretically explored the mathematical model for line-scan fringe projection profilometry, and established the 3D reconstruction and calibration methods under this proposed line-scan high-dimensional imaging system. The spectral resolution of the system is 2.8 nm, and the spatial root-mean-square-error is 0.0895 mm when measuring a standard sphere with a diameter of 40.234 mm. We measure a colored statue to showcase the intensity change along the dimension of wavelength. In addition, the quality and defect of the spinach leaves are inspected based on spectral data and depth data, which demonstrates the potential application of the system in the food industry. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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