A Comparison of Property Estimators in Stereology and Digital Geometry


by Huang, Y and Klette, R
Abstract:
We consider selected geometric properties of 2D or 3D sets, given in form of binary digital pictures, and discuss their estimation. The properties examined are perimeter and area in 2D, and surface area and volume in 3D. We evaluate common estimators in stereology and digital geometry according to their multiprobe or multigrid convergence properties, and precision and efficiency of estimations. © Springer-Verlag 2004.
Reference:
A Comparison of Property Estimators in Stereology and Digital Geometry (Huang, Y and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 3322, 2004.
Bibtex Entry:
@article{huang2004ageometry,
author = "Huang, Y and Klette, R",
journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "421--431",
title = "A Comparison of Property Estimators in Stereology and Digital Geometry",
volume = "3322",
year = "2004",
abstract = "We consider selected geometric properties of 2D or 3D sets, given in form of binary digital pictures, and discuss their estimation. The properties examined are perimeter and area in 2D, and surface area and volume in 3D. We evaluate common estimators in stereology and digital geometry according to their multiprobe or multigrid convergence properties, and precision and efficiency of estimations. © Springer-Verlag 2004.",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}