Computer Image Analysis as a Method of Evaluating the Quality of Selected Fine-Grained Food Mixtures

This work presents the possibility of using computer image analysis to assess quality fine-grained food mixtures. The research was carried out a mixture wheat flour and algae. These types ingredients are used, among others, produce pasta, which is functional due its enrichment with tests were for mixtures different shares algae: 2%, 3% 4% w/w. Mixing in 3D mixer (Turbula® mixer), 20, 40 60 mL mixing vessels placed. At end process, samples taken from four parts (sectors) vessels, then photos digital camera. For this purpose, specially prepared chamber ensuring stable conditions taking photos. obtained images analyzed Patan® program, determining color on RGB-256 scale. values compared previously reference specimen (simple linear regression formula). Based this, it possible determine share algae thus estimate homogeneity tested results indicate high reliability proposed solution.