Application of Structural Similarity Based Metrics for Quality Assessment of 3D Prints

  • Krzysztof Okarma
  • Jarosław Fastowicz
  • Mateusz Tecław
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9972)

Abstract

The paper is related to the verification of the usefulness of some metrics, typically used for image quality assessment and texture similarity evaluation, for no-reference quality assessment of 3D prints. The proposed approach is based on the assumption that a surface of high quality 3D print should be homogeneous and therefore some parts of it should be self-similar. Considering the local similarity of some fragments of 3D prints, some distortions can be detected which lower the overall quality of the 3D print. Since many image quality assessment methods, as well as texture similarity metrics, are based on the comparison of fragments of two images, a modification of such approach has been proposed which allows the no-reference evaluation without any information about the reference image or model.

Keywords

3D prints Texture analysis SSIM STSIM Image quality assessment 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Krzysztof Okarma
    • 1
  • Jarosław Fastowicz
    • 1
  • Mateusz Tecław
    • 1
  1. 1.Faculty of Electrical Engineering, Department of Signal Processing and Multimedia EngineeringWest Pomeranian University of Technology, SzczecinSzczecinPoland

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