Carbonated soft drink classification based on image analysis and PCA

Química Nova

Universidade Federal de Goiás, Goiânia, Brasil¹  Oliveira, Sérgio B. de¹  Pereira, Raquel O.¹  Oliveira, Anselmo E. de¹  Ribeiro, Keysi de O.¹  Godinho, Mariana da S.¹  Centro Federal de Educação Tecnológica de Goiás, Goiânia, Brasil¹  Schimidt, Fernando¹ 

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

DOI  :  10.1590/S0100-40422008000600039

学科分类：化学（综合）

来源: Sociedade Brasileira de Quimica

【 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】

Unknown