Surface texture characterization of an Italian pasta by means of univariate and multivariate feature extraction from their texture images

Article ID	Journal	Published Year	Pages	File Type
6398060	Food Research International	2013	13 Pages	PDF

Abstract

âº Surface texture is an important characteristic of pasta. âº It can be evaluated by means of image texture analysis methods. âº Thanks to GLCM the surface characteristic of the samples was estimated objectively. âº Results showed the differences of surface aspect of pasta before and after cooking. âº PCA/PLS-DA analysis was applied on GLCM/AMT results; sample classification was found.

Keywords

PLS-DA EntC ADH GLCM HTG AMT PCA Surface texture Image texture analysis partial least square discriminant analysis Multivariate data analysis Principal component analysis Angle measure technique Gray level co-occurrence matrix Protein content Heterogeneity Pasta Adhesiveness Conc