Chemometrics‐assisted color histogram‐based analytical systems

• Published in: Journal of chemometrics Vol. 34; no. 12
• Main Author: Gonçalves Dias Diniz, Paulo Henrique
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 01-12-2020
• Subjects: Analytical chemistry; Chemometrics; Color; Digital cameras; Digital imaging; Frequency distribution; green analytical chemistry; Histograms; Image acquisition; Image processing; Mathematical analysis; Microbiological analysis; multivariate calibration; pattern recognition; Qualitative analysis; RGB color space; Systems analysis; Webcams
• ISSN: 0886-9383; 1099-128X
• DOI: 10.1002/cem.3242

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.