Mathematical Morphology on Directional Data
Abstract We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for unit vectors which is obtained by using depth functions. They provide a centre-outward ordering with respect to a specified centre vector. We apply our operators on synthetic directional images and compare them with classical morphological operators for grey-scale images. As application examples, we enhance the fault region in a compressed glass foam and segment misaligned fibre regions of glass fibre-reinforced polymers.
Authors
- Claudia Redenbach (ORCID: https://orcid.org/0000-0002-8030-069X)
- Konstantin Hauch (ORCID: https://orcid.org/0000-0002-2333-5191)
Institutions
- University of Kaiserslautern (DE)
Publication Details
- Journal
- Journal of Mathematical Imaging and Vision
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1007/s10851-024-01210-0
- Citations
- 2
- Primary Topic
- Soil Geostatistics and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.41