VISUAL INSPECTION SYSTEM FOR AUTOMATED SORTING OF SEEDS

This paper discusses a method to evaluate the potential of texture analysis in the automated inspection and sorting of seeds. Two special procedures for image processing considered the most suitable for this aim are presented: one that allows to compute the energy of the sub bands of a Wavelet Transform, the other that determines the local and connected fractal dimension of an image. Then an interactive decision support system that uses for the classification of images the cumulative feature vector including the wavelet coefficients and the fractal dimension is described, together the procedure to take decisions on the image relevance.