An image analysis-based soft sensor:is designed and applied to the; automatic quality classification of product appearance With color textural characteristics. In this Work; multiresolutional multivariate image analysis (MR-MIA) is used in order to analyze product images with color as well as texture: Partial least-squares-discriminant analysis (PLS-DA) is also used as a supervised learning Method for automatic classification. The use of PLS-DA, one of the latent variable methods, enables not : only classification of product : appearances into distinct classes, but also:estimation. of product appearance with continuous variations, and analysis Of of the appearance characteristics.: This approach is successfully applied to the automatic quality Classification of intermediate and final products in the industrial Manufacturing of engineered stone countertops.