In this paper, several image analysis techniques have been applied aiming to obtain useful information regarding the processing of
municipal solid waste polymers. An automated color extraction method has been applied in order to quantize the color distribution
in the polymer wastes aiming their resource and time-efficient separation according to their color. Also, by processing different
density fractions from the polymer waste the color of the final material has been predicted, as well as the potential degradation of
the material in the processing conditions used in the study. The image analysis techniques used in this paper could complement
other polymer characterization techniques and could lead to an increase in the efficiency of waste recycling management by
efficiently planning-ahead of the processing parameters and of the raw materials used (dyes, pigments).