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International Conference on Image Processing and Communications

IP&C 2018: Image Processing and Communications Challenges 10 pp 123–131Cite as

Automatic Colour Independent Quality Evaluation of 3D Printed Flat Surfaces Based on CLAHE and Hough Transform

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 892))

Abstract

In this paper a novel approach to quality evaluation of flat surfaces of the 3D printed objects has been discussed. The proposed approach utilizes the regularity of the layers visible on the printed surfaces which are extracted using Hough transform. Nevertheless, due to the variety of filament’s colours, the application of a single metric which can be automatically computed, being equivalent to perceived surface quality, requires the additional preprocessing operations. For this purpose Contrast Limited Adaptive Histogram Equalization (CLAHE) has been used together with additional compensation of the metric for bright filaments. Achieved results for the database of 88 scanned samples are encouraging and allow a reliable quality assessment of 3D surfaces for various filaments.

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Author information

Authors and Affiliations

  1. Department of Signal Processing and Multimedia Engineering, Faculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin, 26 Kwietnia 10, 71-126, Szczecin, Poland

    Jarosław Fastowicz & Krzysztof Okarma

Authors
  1. Jarosław Fastowicz
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  2. Krzysztof Okarma
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Corresponding author

Correspondence to Krzysztof Okarma .

Editor information

Editors and Affiliations

  1. Institute of Telecommunications and Computer Science, University of Science and Technology, UTP, Bydgoszcz, Poland

    Michał Choraś

  2. Institute of Telecommunications and Computer Science, University of Science and Technology, UTP, Bydgoszcz, Poland

    Ryszard S. Choraś

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Fastowicz, J., Okarma, K. (2019). Automatic Colour Independent Quality Evaluation of 3D Printed Flat Surfaces Based on CLAHE and Hough Transform. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 10. IP&C 2018. Advances in Intelligent Systems and Computing, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-03658-4_15

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