Entropy Based Surface Quality Assessment of 3D Prints

In the paper the automatic method of visual quality assessment of surfaces of 3D prints is presented. The proposed approach is based on the use of entropy and may be applied for on-line inspection of 3D printing progress during the printing process. In case of observed decrease of the printed surface quality the emergency stop may be used allowing saving the filament, as well as possible correction of the printed object. The verification of the validity of the proposed method has been made using several prints made from different colors of the PLA filaments. Since the entropy of the image is related to the presence of structural information, the color to grayscale conversion of the test images has been applied in order to simplify further calculations. The analysis of the impact of the chosen color to grayscale conversion method on the obtained results is presented as well.

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