Adaptive mathematical morphology on irregularly sampled signals in two dimensions

DOI10.1515/MATHM-2020-0104zbMath1469.68152OpenAlexW2995219292MaRDI QIDQ1980896

Cris L. Luengo Hendriks, Matthew J. Thurley, Robin Strand, Teo Asplund

Publication date: 9 September 2021

Published in: Mathematical Morphology. Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/mathm-2020-0104

zbMATH Keywords

mathematical morphologyirregular samplinglocal structure tensoradaptive morphologyelliptical structuring elementsnon-flat morphology

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Sampling theory in information and communication theory (94A20)

Related Items (1)

Editorial -- special issue: ISMM 2019

Cites Work

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• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• Mathematical morphology on irregularly sampled data in one dimension
• Mathematical morphology on irregularly sampled data applied to segmentation of 3D point clouds of urban scenes
• A Review of Tensors and Tensor Signal Processing
• Point morphology

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