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

Research output: Contribution to conferenceOther conference contributionScientificpeer-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 languageEnglish
Publication statusPublished - 2013
MoE publication typeNot Eligible
Event11th European Congress of Stereology and Image Analysis - Kaiserslautern, Germany
Duration: 9 Jul 201312 Jul 2013

Conference

Conference11th European Congress of Stereology and Image Analysis
CountryGermany
CityKaiserslautern
Period9/07/1312/07/13

Fingerprint

sampling
method
fibre

Keywords

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

Cite this

Niilo-Rämä, M., Kärkkäinen, S., Gasbarra, D., & Lappalainen, T. (2013). Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose. 11th European Congress of Stereology and Image Analysis, Kaiserslautern, Germany.
Niilo-Rämä, M. ; Kärkkäinen, S. ; Gasbarra, D. ; Lappalainen, Timo. / Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose. 11th European Congress of Stereology and Image Analysis, Kaiserslautern, Germany.
@conference{5a10c845fb1b4b589881cfc9aa6b2418,
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",

}

Niilo-Rämä, M, Kärkkäinen, S, Gasbarra, D & Lappalainen, T 2013, 'Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose' 11th European Congress of Stereology and Image Analysis, Kaiserslautern, Germany, 9/07/13 - 12/07/13, .

Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose. / Niilo-Rämä, M.; Kärkkäinen, S.; Gasbarra, D.; Lappalainen, Timo.

2013. 11th European Congress of Stereology and Image Analysis, Kaiserslautern, Germany.

Research output: Contribution to conferenceOther conference contributionScientificpeer-review

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

ER -

Niilo-Rämä M, Kärkkäinen S, Gasbarra D, Lappalainen T. Inclusion ratio based estimator for the mean length of the Boolean line segment model applied to nanocellulose. 2013. 11th European Congress of Stereology and Image Analysis, Kaiserslautern, Germany.