Stochastic Distance Transform: Theory, Algorithms and Applications

Distance transforms (DTs) are standard tools in image analysis, with applications in image registration and segmentation. The DT is based on extremal (minimal) distance values and is therefore highly sensitive to noise. We present a stochastic distance transform (SDT) based on discrete random sets ,...

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Bibliographic Details
Published in:	Journal of mathematical imaging and vision Vol. 62; no. 5; pp. 751 - 769
Main Authors:	Öfverstedt, Johan, Lindblad, Joakim, Sladoje, Nataša
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2020 Springer Nature B.V
Subjects:	Accuracy Algorithms Applications of Mathematics Computer Science Computer simulation Computerized Image Processing Datoriserad bildbehandling Deterministic algorithm Discrete random set Disks Distance transform Image analysis Image Processing and Computer Vision Image registration Image segmentation Mathematical Methods in Physics Microscopy Monte-Carl Noise sensitivity Probability theory Robust distance Signal,Image and Speech Processing Special Issue on Discrete Geometry for Computer Imagery 2019 Three dimensional models Discrete random set Image segmentation Monte-Carlo method Robust distance Deterministic algorithm Distance transform
ISSN:	0924-9907, 1573-7683, 1573-7683
Online Access:	Get full text
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