Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose

M. Niilo-Rämä; S. Kärkkäinen; D. Gasbarra; Timo Lappalainen

Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose

M. Niilo-Rämä
, S. Kärkkäinen
, D. Gasbarra
, Timo Lappalainen

University of Helsinki
University of Jyväskylä

Research output: Contribution to conference › Other conference contribution › Scientific › peer-review

Abstract

A new method for estimating the mean length of line segments observed through a square shaped sampling window is introduced. The largest advantage of the method is that there is no need to measure the exact lengths of the segments. The method is based on the ratio of two biased intensity estimates obtained from minus- and plus-sampling. This method is applied for estimating the mean length of the fibres of nanocellulose from an AFM image.

Original language	English
Publication status	Published - 2013
MoE publication type	Not Eligible
Event	11th European Congress of Stereology and Image Analysis - Kaiserslautern, Germany Duration: 9 Jul 2013 → 12 Jul 2013

Conference

Conference	11th European Congress of Stereology and Image Analysis
Country/Territory	Germany
City	Kaiserslautern
Period	9/07/13 → 12/07/13

Keywords

AFM image
Boolean model
mean length
minus-sampling
nanocellulose
plus-sampling

Cite this

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title = "Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose",

abstract = "A new method for estimating the mean length of line segments observed through a square shaped sampling window is introduced. The largest advantage of the method is that there is no need to measure the exact lengths of the segments. The method is based on the ratio of two biased intensity estimates obtained from minus- and plus-sampling. This method is applied for estimating the mean length of the fibres of nanocellulose from an AFM image.",

keywords = "AFM image, Boolean model, mean length, minus-sampling, nanocellulose, plus-sampling",

author = "M. Niilo-R{\"a}m{\"a} and S. K{\"a}rkk{\"a}inen and D. Gasbarra and Timo Lappalainen",

year = "2013",

language = "English",

note = "11th European Congress of Stereology and Image Analysis ; Conference date: 09-07-2013 Through 12-07-2013",

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TY - CONF

T1 - Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose

AU - Niilo-Rämä, M.

AU - Kärkkäinen, S.

AU - Gasbarra, D.

AU - Lappalainen, Timo

PY - 2013

Y1 - 2013

N2 - A new method for estimating the mean length of line segments observed through a square shaped sampling window is introduced. The largest advantage of the method is that there is no need to measure the exact lengths of the segments. The method is based on the ratio of two biased intensity estimates obtained from minus- and plus-sampling. This method is applied for estimating the mean length of the fibres of nanocellulose from an AFM image.

AB - A new method for estimating the mean length of line segments observed through a square shaped sampling window is introduced. The largest advantage of the method is that there is no need to measure the exact lengths of the segments. The method is based on the ratio of two biased intensity estimates obtained from minus- and plus-sampling. This method is applied for estimating the mean length of the fibres of nanocellulose from an AFM image.

KW - AFM image

KW - Boolean model

KW - mean length

KW - minus-sampling

KW - nanocellulose

KW - plus-sampling

M3 - Other conference contribution

T2 - 11th European Congress of Stereology and Image Analysis

Y2 - 9 July 2013 through 12 July 2013

ER -

Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose

Abstract

Conference

Keywords

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Cite this