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Recent developments in computer vision-based analytical chemistry: A tutorial review

机译:基于计算机视觉的分析化学的最新进展:教程复习

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摘要

Chemical analysis based on colour changes recorded with imaging devices is gaining increasing interest. This is due to its several significant advantages, such as simplicity of use, and the fact that it is easily combinable with portable and widely distributed imaging devices, resulting in friendly analytical procedures in many areas that demand out-of-lab applications for in situ and real-time monitoring. This tutorial review covers computer vision-based analytical (CVAC) procedures and systems from 2005 to 2015, a period of time when 87.5% of the papers on this topic were published. The background regarding colour spaces and recent analytical system architectures of interest in analytical chemistry is presented in the form of a tutorial. Moreover, issues regarding images, such as the influence of illuminants, and the most relevant techniques for processing and analysing digital images are addressed. Some of the most relevant applications are then detailed, highlighting their main characteristics. Finally, our opinion about future perspectives is discussed. (C) 2015 Elsevier B.V. All rights reserved.
机译:基于利用成像设备记录的颜色变化的化学分析越来越引起人们的兴趣。这是由于它的几个重要优点,例如使用简单以及易于与便携式且分布广泛的成像设备结合使用的事实,从而导致在许多领域需要友好的分析程序,从而需要在实验室外进行现场应用和实时监控。本教程审查涵盖2005年至2015年的基于计算机视觉的分析(CVAC)程序和系统,这段时间里,有关该主题的论文发表了87.5%。以教程的形式介绍了有关色空间和分析化学中感兴趣的最新分析系统体系结构的背景。此外,解决了关于图像的问题,例如光源的影响,以及用于处理和分析数字图像的最相关技术。然后详细介绍了一些最相关的应用程序,突出了它们的主要特征。最后,讨论了我们对未来观点的看法。 (C)2015 Elsevier B.V.保留所有权利。

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