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

Química Nova

Mariana Da S. Godinho²  Raquel O. Pereira²  Keysi De O. Ribeiro²  Fernando Schimidt²  Anselmo E. De Oliveira²  Sérgio B. De Oliveira¹ 

[1] ,Universidade Federal de Goiás Instituto de Química Goiânia GO ,Brasil

关键词: PCA;    image analysis;    carbonated soft drinks;   

DOI  :  10.1590/S0100-40422008000600039

来源: SciELO

【 摘 要 】

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 Guaraná, 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.

【 授权许可】

CC BY-NC   
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