Abstract
In the paper the issue of quality assessment of 3D printed surfaces using image analysis is considered with particular attention paid to Fourier analysis of image fragments resized to one-dimensional vectors. Due to the application if Fourier analysis the regularity of visible patterns related to the consecutive layers of the filament can be assessed, assuming the side view of the printed surface. In order to avoid the problems of uneven lighting, our experiments have been conducted for scanned images of several 3D printed flat samples. As some of them have been contaminated by forced distortions, it is possible to classify them into two groups depending on the presence and amount of them. Due to the application of Fourier analysis some encouraging experimental results have been obtained which can be useful also for online monitoring of 3D prints quality for the images captured by cameras.
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Fastowicz, J., Bąk, D., Mazurek, P., Okarma, K. (2018). Quality Assessment of 3D Printed Surfaces in Fourier Domain. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 9. IP&C 2017. Advances in Intelligent Systems and Computing, vol 681. Springer, Cham. https://doi.org/10.1007/978-3-319-68720-9_10
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DOI: https://doi.org/10.1007/978-3-319-68720-9_10
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