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NIR spectrophotometric system based on a conventional CCD camera

机译:基于传统CCD相机的NIR分光光度系统

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The near infrared spectral region (NIR) is useful in many applications. These include agriculture, the food and chemical industry, and textile and medical applications. In this region, spectral reflectance measurements are currently made with conventional spectrophotometers. These instruments are expensive since they use a diffraction grating to obtain monochromatic light. In this work, we present a multispectral imaging based technique for obtaining the reflectance spectra of samples in the NIR region (800 - 1000 nm), using a small number of measurements taken through different channels of a conventional CCD camera. We used methods based on the Wiener estimation, non-linear methods and principal component analysis (PCA) to reconstruct the spectral reflectance. We also analyzed, by numerical simulation, the number and shape of the filters that need to be used in order to obtain good spectral reconstructions. We obtained the reflectance spectra of a set of 30 spectral curves using a minimum of 2 and a maximum of 6 filters under the influence of two different halogen lamps with color temperatures Tc_1 = 2852K and Tc_2 = 3371K. The results obtained show that using between three and five filters with a large spectral bandwidth (FWHM ≈ 60 nm), the reconstructed spectral reflectance of the samples was very similar to that of the original spectrum. The small amount of errors in the spectral reconstruction shows the potential of this method for reconstructing spectral reflectances in the NIR range.
机译:近红外光谱区(NIR)可用于许多应用中。这些包括农业,食品和化学工业,以及纺织和医疗应用。在该区域中,目前用常规分光光度计进行光谱反射率测量。这些仪器昂贵,因为它们使用衍射光栅获得单色光。在这项工作中,我们介绍了一种基于多光谱成像的技术,用于获得NIR区域(800-1000nm)中的样本的反射光谱,使用通过传统CCD相机的不同通道拍摄的少量测量。我们使用基于维纳估计,非线性方法和主成分分析(PCA)的方法来重建光谱反射率。通过数值模拟,我们还分析了需要使用的滤波器的数量和形状,以获得良好的光谱重建。我们在两种不同卤素灯的影响下,使用最小2和最多6个过滤器获得了一组30个光谱曲线的反射光谱,其中两种不同的卤素灯TC_1 = 2852K和TC_2 = 3371K。得到的结果表明,使用具有大光谱带宽(FWHM≈60nm)的三个和五个滤波器,样本的重建光谱反射率与原始光谱的重建光谱反射率非常相似。光谱重建中的少量误差表明了该方法的潜力,用于重建NIR范围内的光谱反射。

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