This paper presents a novel imaging spectrometer, the Computed-Tomography Imaging Interferometer (CTII). CTII is the combination of the conventional Fourier Transformation Imaging Spectrometer (FTIS) and the Computed-Tomography Imaging Spectrometer (CTIS).This system consists of a telescope system, a collimating system, a Dove prism, a cylindrical lens, a Michelson interferometer, and a focal plane array sensor. Therefore, CTII retains the advantages of both FTIS and CTIS such as high etendue, high spectral resolution and the snapshot ability. In this paper, the basic principle of CTII is introduced. And the experimental system of a CTII is constructed. The experimental results show CTII is feasible.
KEYWORDS: Cameras, Reflectivity, Digital cameras, Optical filters, Principal component analysis, Statistical analysis, Image classification, Multispectral imaging, Color difference, Digital imaging
Traditionally, the grade discrimination and classifying of bowlders (emeralds) are implemented by using methods based on people's experiences. In our previous works, a method based on NCS(Natural Color System) color system and sRGB color space conversion is employed for a coarse grade classification of emeralds. However, it is well known that the color match of two colors is not a true "match" unless their spectra are the same. Because metameric colors can not be differentiated by a three channel(RGB) camera, a multispectral camera(MSC) is used as image capturing device in this paper. It consists of a trichromatic digital camera and a set of wide-band filters. The spectra are obtained by measuring a series of natural bowlders(emeralds) samples. Principal component analysis(PCA) method is employed to get some spectral eigenvectors. During the fine classification, the color difference and RMS of spectrum difference between estimated and original spectra are used as criterion. It has been shown that 6 eigenvectors are enough to reconstruct reflection spectra of the testing samples.
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