title: Recent developments in computer vision-based analytical chemistry: A tutorial review.
abstract: 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.
authors.affiliation: ECsens, Department of Analytical Chemistry, Campus Fuentenueva, Faculty of Sciences, University of Granada, E-18071 Granada, Spain. Electronic address: lcapitan@ugr.es.
authors.forename: Luis Fermín
authors.initials: LF
authors.lastname: Capitán-Vallvey
authors.affiliation: ECsens, CITIC-UGR, Department of Electronics and Computer Technology, Campus Fuentenueva, Faculty of Sciences, University of Granada, E-18071 Granada, Spain.
authors.forename: Nuria
authors.initials: N
authors.lastname: López-Ruiz
authors.affiliation: ECsens, CITIC-UGR, Department of Electronics and Computer Technology, Campus Fuentenueva, Faculty of Sciences, University of Granada, E-18071 Granada, Spain.
authors.forename: Antonio
authors.initials: A
authors.lastname: Martínez-Olmos
authors.affiliation: ECsens, Department of Analytical Chemistry, Campus Fuentenueva, Faculty of Sciences, University of Granada, E-18071 Granada, Spain.
authors.forename: Miguel M
authors.initials: MM
authors.lastname: Erenas
authors.affiliation: ECsens, CITIC-UGR, Department of Electronics and Computer Technology, Campus Fuentenueva, Faculty of Sciences, University of Granada, E-18071 Granada, Spain.
authors.forename: Alberto J
authors.initials: AJ
authors.lastname: Palma
keywords: Colour; Computer vision-based analytical chemistry; Imaging devices; Review