Estimating volume distributions using maximum entropy

Keith, Jonathan M. and Gay, Stephen L. (2000) Estimating volume distributions using maximum entropy. Image Analysis and Stereology, 19 11: 195-198. doi:10.5566/ias.v19.p195-198

Author Keith, Jonathan M.
Gay, Stephen L.
Title Estimating volume distributions using maximum entropy
Journal name Image Analysis and Stereology   Check publisher's open access policy
ISSN 1580-3139
Publication date 2000-11
Sub-type Article (original research)
DOI 10.5566/ias.v19.p195-198
Open Access Status DOI
Volume 19
Issue 11
Start page 195
End page 198
Total pages 4
Editor I. Erzen
Place of publication Ljubljana, Slovenia
Publisher International Society for Stereology
Collection year 2000
Language eng
Subject C1
290702 Mineral Processing
640399 Other
Formatted abstract
This paper describes a new method for estimating particle volume distributions using isotropic, uniform, random (IUR) sections. An attractive feature of the method is that it makes no assumptions about the shape of the particles. Since IUR sections do not uniquely determine the volume distribution for particles of general shape, the method takes a probabilistic approach. It uses the principle of maximum entropy to determine the most likely distribution given the available information. This information is extracted from the sections using geometric probability. The algorithm was tested on simulated ellipsoids, with excellent results.
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
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Created: Tue, 10 Jun 2008, 11:28:28 EST