Classificação de refrigerantes através de análise de imagens e análise de componentes principais (PCA)

Abstract

CARBONATED SOFT DRINK CLASSIFICATION BASED ON IMAGE ANALYSIS AND PCA. This paper describes an approach for the colour-based classification of RGB (red-green-blue) images, acquired using a common scanner, of commercial carbonated soft drinks. Mean histograms of image colour channels were evaluated for the PCA classification of 29 brands of Guarana, Cola, and orange flavors. Loadings for principal component axes resulted in different patterns for sample grouping on score plots according to RGB histograms. pH, sorbic acid and sucrose measurements were also correlated to the analyzed brands through PCA score plots of the digitalized images.