Improved Anisotropic Gaussian Filters

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 an...

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Bibliographic Details
Published inImage analysis & stereology Vol. 43; no. 1; pp. 9 - 22
Main Authors Keilmann, Alex, Godehardt, Michael, Moghiseh, Ali, Redenbach, Claudia, Schladitz, Katja
Format Journal Article
LanguageEnglish
Published Slovenian Society for Stereology and Quantitative Image Analysis 01.01.2024
Subjects
computed tomography
directional filter
fiber direction
fiber reinforced polymers
orientation estimation
sheet molding compounds
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Summary: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.
ISSN:1580-3139
1854-5165
DOI:10.5566/ias.3023