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Mathematical Morphology on Directional Data.

Authors :
Hauch, Konstantin
Redenbach, Claudia
Source :
Journal of Mathematical Imaging & Vision; Dec2024, Vol. 66 Issue 6, p1019-1032, 14p
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09249907
Volume :
66
Issue :
6
Database :
Complementary Index
Journal :
Journal of Mathematical Imaging & Vision
Publication Type :
Academic Journal
Accession number :
180831414
Full Text :
https://doi.org/10.1007/s10851-024-01210-0