Carbonated soft drink classification based on image analysis and PCA

被引：25

作者：

Godinho, Mariana da S. ^{[1
]}

Pereira, Raquel O. ^{[1
]}

Ribeiro, Keysi de O. ^{[1
]}

Schimidt, Fernando ^{[1
]}

de Oliveira, Anselmo E. ^{[1
]}

de Oliveira, Sergio B. ^{[2
]}

机构：

[1] Univ Fed Goias, Inst Quim, BR-74001970 Goiania, Go, Brazil

[2] Ctr Fed Educ Tecnol Goias, BR-74055110 Goiania, Go, Brazil

来源：

QUIMICA NOVA | 2008年 / 31卷 / 06期

关键词：

PCA; image analysis; carbonated soft drinks;

D O I：

10.1590/S0100-40422008000600039

中图分类号：

O6 [化学];

学科分类号：

0703 ;

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 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.

引用

页码：1485 / 1489

页数：5

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