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Development of a multichannel hyperspectral imaging probe for food property and quality Assessment

机译:开发用于食品特性和质量评估的多通道高光谱成像探头

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This paper reports on the development, calibration and evaluation of a new multipurpose, multichannel hyperspectral imaging probe for property and quality assessment of food products. The new multichannel probe consists of a 910 μm fiber as a point light source and 30 light receiving fibers of three sizes (i.e., 50 urn, 105 μm and 200 μm) arranged in a special pattern to enhance signal acquisitions over the spatial distances of up to 36 mm. The multichannel probe allows simultaneous acquisition of 30 spatially-resolved reflectance spectra of food samples with either flat or curved surface over the spectral region of 550-1,650 nm. The measured reflectance spectra can be used for estimating the optical scattering and absorption properties of food samples, as well as for assessing the tissues of the samples at different depths. Several calibration procedures that are unique to this probe were carried out; they included linearity calibrations for each channel of the hyperspectral imaging system to ensure consistent linear responses of individual channels, and spectral response calibrations of individual channels for each fiber size group and between the three groups of different size fibers. Finally, applications of this new multichannel probe were demonstrated through the optical property measurement of liquid model samples and tomatoes of different maturity levels. The multichannel probe offers new capabilities for optical property measurement and quality detection of food and agricultural products.
机译:本文报道了用于食品属性和质量评估的新型多用途,多通道高光谱成像探头的开发,校准和评估。新型多通道探头由910μm的光纤作为点光源和30条三种尺寸(即50 urn,105μm和200μm)的光接收光纤以特殊模式排列,以增强在向上的空间距离上的信号采集至36毫米多通道探针可以同时获取300-1650 nm光谱区域内平坦或弯曲表面的30个食物样品的空间分辨反射光谱。测得的反射光谱可用于估计食品样品的光学散射和吸收特性,以及评估不同深度的样品组织。进行了该探头特有的几种校准程序。它们包括针对高光谱成像系统每个通道的线性校准,以确保各个通道的线性响应一致,以及针对每个光纤尺寸组以及三组不同尺寸的光纤之间的单个通道的光谱响应校准。最后,通过对液体模型样品和不同成熟度水平的番茄进行光学性质测量,证明了这种新型多通道探针的应用。多通道探头为食品和农产品的光学性能测量和质量检测提供了新功能。

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