Distances defined by neighborhood sequences
Pattern Recognition
Generalized distances in digital geometry
Information Sciences: an International Journal
Distance functions in digital geometry
Information Sciences: an International Journal
Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Octagonal distances for digital pictures
Information Sciences: an International Journal
Hyperspheres in digital geometry
Information Sciences: an International Journal
Estimation of errors between Euclidean and m–neighbor distance
Information Sciences: an International Journal
Best simple octagonal distances in digital geometry
Journal of Approximation Theory
On the Generation of Skeletons from Discrete Euclidean Distance Maps
IEEE Transactions on Pattern Analysis and Machine Intelligence
On approximating Euclidean metrics by digital distances in 2D and 3D
Pattern Recognition Letters
Velocity and distance of neighbourhood sequences
Acta Cybernetica
Geometry of neighbourhood sequences
Pattern Recognition Letters
Approximating non-metrical Minkowski distances in 2D
Pattern Recognition Letters
Approximating non-metrical Minkowski distances in 2D
Pattern Recognition Letters
Weighted distances based on neighborhood sequences for point-lattices
Discrete Applied Mathematics
Digital distance functions on three-dimensional grids
Theoretical Computer Science
Approximating Euclidean circles by neighbourhood sequences in a hexagonal grid
Theoretical Computer Science
On approximating Euclidean metrics by weighted t-cost distances in arbitrary dimension
Pattern Recognition Letters
On the lattice structure of subsets of octagonal neighborhood sequences in Zn
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Distance transform computation for digital distance functions
Theoretical Computer Science
Approximation of the euclidean distance by Chamfer distances
Acta Cybernetica
Linear combination of weighted t-cost and chamfering weighted distances
Pattern Recognition Letters
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Neighborhoods and neighborhood sequences play important roles in several branches of pattern analysis. In earlier papers in Z^n only certain special (e.g. periodic or octagonal) sequences were investigated. In this paper we study neighborhood sequences which are either ultimately periodic or allow at every neighborhood to do nothing at no cost. We give finite procedures and descriptive theoretical criteria for certain important (e.g. metrical) properties of the sequences. Our results are valid for several types of classical neighborhood sequences and for generated distance functions (e.g. octagonal and chamfer distances) which are widely applied in digital image processing. We conclude the paper by showing how our results contribute to the theory of distance transformations.