Application of hybrid image features for fast and non-invasive classification of raisin

► Morphological, color and texture features as classification predictors of raisin. ► Different feature combinations were analyzed to choose best one. ► Five classifiers of PLS, LDA, SIMACE, LS-SVM with two kernels were established. ► Best classification was found based on LDA with the combination of all feature sets.