期刊
JOURNAL OF CHEMOMETRICS
卷 34, 期 12, 页码 -出版社
WILEY
DOI: 10.1002/cem.3242
关键词
digital imaging; green analytical chemistry; multivariate calibration; pattern recognition; RGB color space
This review systematizes for the first time the here called Chemometrics-assisted color histogram-based analytical systems under the acronym CACHAS. A comprehensive discussion of the fundamentals, general characteristics, and applications are presented in order to direct practical aspects for developing methods that use color histograms as input data for the construction of chemometric models. For this, analytical information is rapidly acquired using a simple image acquisition device (such as digital camera, webcam, scanner, or smartphone), without need for any image processing, other than extraction of the histograms, which are constructed by counting the frequency distribution of the different color tones (conveniently specified through a color space) of all pixels delimited by a region of interest in a digital image. As a consequence, CACHAS have been increasingly used for qualitative and quantitative purposes in food, agricultural, forensic, biomedical, and microbiological analysis, reinforcing the principles of green analytical chemistry.
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