Multivariate image analysis and regression for prediction of coating content and distribution in the production of snack foods

An important problem in the snack food industry is to control the amount of coating applied to the base food product and the distribution of the coating among the individual product pieces.Multivariate image analysis and regression approaches based on Principal Component Analysis (PCA) and Partial Least Squares (PLS) are presented for the extraction of features from RGB (red–green–blue) color images and for their use in predicting the average …