Distance functions based on multiple types of weighted steps combined with neighborhood sequences

DOI10.1007/s10851-018-0805-1zbMath1433.68516OpenAlexW2791857517MaRDI QIDQ1799656

Nicolas Normand, Benedek Nagy, Robin Strand

Publication date: 19 October 2018

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-018-0805-1

zbMATH Keywords

distance functionsweight sequencesneighborhood sequenceschamfer distancesapproximation of Euclidean distance

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (5)

Aggregation of triangle of distortion functions ⋮ Non-traditional 2D grids in combinatorial imaging -- advances and challenges ⋮ Distance Transform Based on Weight Sequences ⋮ Polygon Approximations of the Euclidean Circles on the Square Grid by Broadcasting Sequences ⋮ Generalised distances of sequences II: B-distances with weight sequences

Cites Work

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• Distance transform computation for digital distance functions
• On Euclidean norm approximations
• Digital distance functions on three-dimensional grids
• Distance with generalized neighbourhood sequences in \(n D\) and \(\infty D\)
• Distances defined by neighborhood sequences
• Distance functions in digital geometry
• The Euclidean distance transform in arbitrary dimensions
• Separable Distance Transformation and Its Applications
• A Weight Sequence Distance Function
• Sequential Operations in Digital Picture Processing

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