Development of an automated method for the identification of defective hazelnuts based on RGB image analysis and colourgrams

Moreover, the image reconstruction performed using the selected colourgram features led to an exhaustive interpretation of the decision-making criteria adopted by the classification algorithms and further confirmed the reliability of the proposed method.