Classification of different types of beer according to their colour characteristics

19th International School on Condensed Matter Physics: Advances in Nanostructured Condensed Matter: Research and Innovations

Nikolova, Kr.T.^1 ; Gabrova, R.^2 ; Boyadzhiev, D.^3 ; Pisanova, E.S.^3 ; Ruseva, J.^2 ; Yanakiev, D.^3

Medical University, 55 Marin Drinov Blvd., Varna, Bulgaria^1

Univerity of Food Technologies, 26 Maritsa Blvd., Plovdiv

4000, Bulgaria^2

University of Plovdiv, 24 Tzar Assen Str., Plovdiv

4000, Bulgaria^3

关键词: Color parameter;    Color systems;    Colour parameters;    Digital image;    K cluster;    K-means clusters;    Number of clusters;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/794/1/012035/pdf
DOI  :  10.1088/1742-6596/794/1/012035

来源: IOP

【 摘 要 】

Twenty-two samples from different beers have been investigated in two colour systems - XYZ and SIELab - and have been characterised according to their colour parameters. The goals of the current study were to conduct correlation and discriminant analysis and to find the inner relation between the studied indices. K-means cluster has been used to compare and group the tested types of beer based on their similarity. To apply the K-Cluster analysis it is required that the number of clusters be determined in advance. The variant K = 4 was worked out. The first cluster unified all bright beers, the second one contained samples with fruits, the third one contained samples with addition of lemon, the fourth unified the samples of dark beers. By applying the discriminant analysis it is possible to help selections in the establishment of the type of beer. The proposed model correctly describes the types of beer on the Bulgarian market and it can be used for determining the affiliation of the beer which is not used in obtained model. One sample has been chosen from each cluster and the digital image has been obtained. It confirms the color parameters in the color system XYZ and SIELab. These facts can be used for elaboration for express estimation of beer by color.