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

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...

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Veröffentlicht in:Analytica chimica acta 2015-10, Vol.899, p.23-56
Hauptverfasser: Capitán-Vallvey, Luis Fermín, López-Ruiz, Nuria, Martínez-Olmos, Antonio, Erenas, Miguel M., Palma, Alberto J.
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Sprache:eng
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Zusammenfassung: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. [Display omitted] •Recent Developments in Computer Vision-Based Analytical Chemistry are reviewed.•The combination of imaging devices with colour processing techniques make possible to obtain chemical information.•The tutorial covers colour spaces, colour sensors, imaging devices, design strategies and applications between 2005 and 2015.
ISSN:0003-2670
1873-4324
DOI:10.1016/j.aca.2015.10.009