Work

Mathematical Morphology on Directional Data

Year: 2024
Type: article
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.
Language: English
Open Access status: hybrid
Estimated APC paid: $2,990
OpenAlex ID: W4402308885
FWCI: 0.42
Cites: 39
Cited by: 3
Related to: 10