On semiautomatic estimation of surface area
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10139015" target="_blank" >RIV/00216208:11320/13:10139015 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/jmi.12030" target="_blank" >http://dx.doi.org/10.1111/jmi.12030</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/jmi.12030" target="_blank" >10.1111/jmi.12030</a>
Alternative languages
Result language
angličtina
Original language name
On semiautomatic estimation of surface area
Original language description
In this paper, we propose a semiautomatic procedure for estimation of particle surface area. It uses automatic segmentation of the boundaries of the particle sections and applies different estimators depending on whether the segmentation was judged by asupervising expert to be satisfactory. If the segmentation is correct the estimate is computed automatically, otherwise the expert performs the necessary measurements manually. In case of convex particles we suggest to base the semiautomatic estimation on the so-called flower estimator, a new local stereological estimator of particle surface area. For convex particles, the estimator is equal to four times the area of the support set (flower set) of the particle transect. We study the statistical properties of the flower estimator and compare its performance to that of two discretizations of the flower estimator, namely the pivotal estimator and the surfactor. For ellipsoidal particles, it is shown that the flower estimator is equal to t
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP201%2F10%2F0472" target="_blank" >GAP201/10/0472: Stochastic geometry - inhomogeneity, marking, dynamics and stereology</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Microscopy
ISSN
0022-2720
e-ISSN
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Volume of the periodical
250
Issue of the periodical within the volume
2
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
142-157
UT code for WoS article
000317434700008
EID of the result in the Scopus database
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