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Methods and tools for sensors information processing

机译:传感器信息处理的方法和工具

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摘要

Current trends in the analysis of food products are related to contactless and hygienic measurements. Adapted, researched and used in this study are hardware and software tools for complex, express, automated evaluation of basic properties and categorization of food products, including: color measurement, spectral analysis and software modules for research, analysis and categorization of foodstuffs including visual image analysis tools, spectral and hyperspectral characteristics, and categorization tools. For that purpose, methods for selecting informative wavelengths for hyperspectral analysis are discussed. Classifiers as Discriminant analysis and SVM are used for classification of food products. Combining visual image data, spectral and hyperspectral analysis is also a method of improving classification accuracy. The results obtained are suitable for the implementation of current trends in the analysis of food related to contactless and hygienic measurements.
机译:食品分析的目前趋势与非接触和卫生测量有关。 本研究的改编,研究和使用的是复杂,快递,自动评估的基本性质和食品分类的硬件和软件工具,包括:用于研究,分析和分类的颜色测量,光谱分析和软件模块,包括视觉图像,包括视觉图像 分析工具,光谱和高光谱特性和分类工具。 为此目的,讨论了选择用于高光谱分析的信息波长的方法。 作为判别分析和SVM的分类器用于食品的分类。 组合视觉图像数据,光谱和高光谱分析也是提高分类精度的方法。 所获得的结果适用于实施与非接触和卫生测量相关的食物的当前趋势。

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