Algorithms for the computation of the Minkowski functionals of deterministic and random polyconvex sets

Authors:
R. Guderlei;S. Klenk;J. Mayer;V. Schmidt;E. Spodarev
Affiliations:
Universität Ulm, Abteilung Angewandte Informationsverarbeitung, D-89069 Ulm, Germany2http://www.mathematik.uni-ulm.de/sai2;Universität Ulm, Abteilung Stochastik, D-89069 Ulm, Germany3http://www.mathematik.uni-ulm.de/stochastik3;Universität Ulm, Abteilung Angewandte Informationsverarbeitung, D-89069 Ulm, Germany2http://www.mathematik.uni-ulm.de/sai2;Universität Ulm, Abteilung Stochastik, D-89069 Ulm, Germany3http://www.mathematik.uni-ulm.de/stochastik3;Universität Ulm, Abteilung Stochastik, D-89069 Ulm, Germany3http://www.mathematik.uni-ulm.de/stochastik3
Venue:
Image and Vision Computing
Year:
2007

Citing 3
Cited 0

Computer Processing of Line-Drawing Images

ACM Computing Surveys (CSUR)
Image Analysis and Mathematical Morphology

Image Analysis and Mathematical Morphology
A new algorithmic approach to the computation of Minkowski functionals of polyconvex sets

Computational Geometry: Theory and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Binary morphological transformations based on the residues (ultimate erosion, skeleton by openings, etc.) and their associated functions which are based on the analysis of the residue evolution in every point of the image are extended to functions. In ...