Improved Anisotropic Gaussian Filters


  • Alex Keilmann University of Kaiserslautern-Landau
  • Michael Godehardt Fraunhofer ITWM
  • Ali Moghiseh Fraunhofer ITWM
  • Claudia Redenbach University of Kaiserslautern-Landau
  • Katja Schladitz Fraunhofer ITWM



computed tomography, directional filter, fiber direction, fiber reinforced polymers, orientation estimation, sheet molding compounds


Elongated anisotropic Gaussian filters are used for the orientation estimation of fibers. In cases where computed tomography images are noisy, roughly resolved, and of low contrast, they are the method of choice even if being efficient only in virtual 2D slices. However, minor inaccuracies in the anisotropic Gaussian filters can carry over to the orientation estimation. Therefore, this paper proposes a modified algorithm for 2D anisotropic Gaussian filters and shows that this improves their precision. Applied to synthetic images of fiber bundles, it is more accurate and robust to noise. Finally, the effectiveness of the approach is shown by applying it to real-world images of sheet molding compounds.




How to Cite

Keilmann, A., Godehardt, M., Moghiseh, A., Redenbach, C., & Schladitz, K. (2024). Improved Anisotropic Gaussian Filters. Image Analysis and Stereology, 43(1), 9–22.



Original Research Paper

Most read articles by the same author(s)

1 2 > >>