### Abstract

Original language | English |
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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 |
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Country | Germany |

City | Kaiserslautern |

Period | 9/07/13 → 12/07/13 |

### Fingerprint

### Keywords

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

### Cite this

*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.

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**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.

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