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.

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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
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article

Mathematical Morphology on Directional Data

Claudia Redenbach, Konstantin Hauch
2 citations
Journal of Mathematical Imaging and Vision
Soil Geostatistics and Mapping
0.41
article

Mathematical Morphology on Directional Data

Claudia Redenbach, Konstantin Hauch
article en
2 citations

Abstract

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.

Journal of Mathematical Imaging and VisionVol. 66(6)
University of Kaiserslautern (DE)
Openalex Percentile: Top 42%
Soil Geostatistics and Mapping
0.41
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Mathematical Morphology on Directional Data — Claudia Redenbach, Konstantin Hauch · Journal of Mathematical Imaging and Vision (2024) | TGRS Research Map | TGRS