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Recognition of Fuzzy or Incompletely Described Objects Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Color Independent Quality Assessment of 3D Printed Surfaces Based on Image Entropy

Authors : Krzysztof Okarma, Jarosław Fastowicz

Published in: Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017

Publisher: Springer International Publishing

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Abstract

The paper is focused on the issue of visual quality assessment of 3D printed surfaces which can be helpful in detection of quality decrease during the printing process as well as the quality inspection of previously printed objects. The basic assumption of the proposed approach is the fact that each distortion of the regular patterns, visible on the side surfaces of objects printed using Fused Deposition Modeling (FDM) technology, causes the increase of the local image entropy. However, due to different colors of the filaments used in our experiments, a reliable prediction of the absolute entropy values can be troublesome. The proposed solution utilizes the combined quality indicator based on the entropy and its variance calculated for the hue component, as well as for the RGB channels, depending on the color of the filament, allowing proper detection of low quality surfaces regardless of the filament’s color.

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Metadata
Title
Color Independent Quality Assessment of 3D Printed Surfaces Based on Image Entropy
Authors
Krzysztof Okarma
Jarosław Fastowicz
Copyright Year
2018
Book
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017

Print ISBN: 978-3-319-59161-2

Electronic ISBN: 978-3-319-59162-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-59162-9_32

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