Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity

Georgios K. Ouzounis; Michael H.F. Wilkinson

Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity

Georgios K. Ouzounis^*, Michael H.F. Wilkinson

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

293 Downloads (Pure)

Abstract

Shape filters are a family of connected morphological operators that have been used for filament enhancement in biomedical imaging. They interact with connected image regions rather than individual pixels, which can either be removed or retained unmodified. This prevents edge distortion and noise amplification, a property particularly appreciated in filtering and segmentation. In this paper we investigate their performance using a generalized notion of connectivity that is referred to as "clustering-based connectivity". We show that we can capture thin fragmented structures which are filtered out with existing techniques.

Original language	English
Title of host publication	ADVANCES IN MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS
Editors	N Zheng, Jiang, lan
Place of Publication	BERLIN
Publisher	Springer
Pages	317-327
Number of pages	11
ISBN (Print)	3-540-37597-X
Publication status	Published - 2006
Event	International Workshop on Intelligent Computer in Pattern Analysis/Synthesis - Duration: 26-Aug-2006 → 27-Aug-2006

Publication series

Name	Lecture Notes in Computer Science
Publisher	SPRINGER-VERLAG BERLIN
Volume	4153
ISSN (Print)	0302-9743

Other

Other	International Workshop on Intelligent Computer in Pattern Analysis/Synthesis
Period	26/08/2006 → 27/08/2006

Keywords

COMPLETE LATTICES
IMAGE

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2006LNCSOuzounis.pdfFinal publisher's version, 2.46 MB

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@inproceedings{4dfded92fd3d4f1fbf81d9f091879897,

title = "Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity",

abstract = "Shape filters are a family of connected morphological operators that have been used for filament enhancement in biomedical imaging. They interact with connected image regions rather than individual pixels, which can either be removed or retained unmodified. This prevents edge distortion and noise amplification, a property particularly appreciated in filtering and segmentation. In this paper we investigate their performance using a generalized notion of connectivity that is referred to as {"}clustering-based connectivity{"}. We show that we can capture thin fragmented structures which are filtered out with existing techniques.",

keywords = "COMPLETE LATTICES, IMAGE",

author = "Ouzounis, {Georgios K.} and Wilkinson, {Michael H.F.}",

note = "Relation: http://www.rug.nl/informatica/organisatie/overorganisatie/iwi Rights: University of Groningen, Research Institute for Mathematics and Computing Science (IWI); International Workshop on Intelligent Computer in Pattern Analysis/Synthesis ; Conference date: 26-08-2006 Through 27-08-2006",

year = "2006",

language = "English",

isbn = "3-540-37597-X",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "317--327",

editor = "N Zheng and Jiang and lan",

booktitle = "ADVANCES IN MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS",

}

Ouzounis, GK & Wilkinson, MHF 2006, Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity. in N Zheng, Jiang & lan (eds), ADVANCES IN MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS. Lecture Notes in Computer Science, vol. 4153, Springer, BERLIN, pp. 317-327, International Workshop on Intelligent Computer in Pattern Analysis/Synthesis, 26/08/2006.

Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity. / Ouzounis, Georgios K.; Wilkinson, Michael H.F.
ADVANCES IN MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS. ed. / N Zheng; Jiang; lan. BERLIN: Springer, 2006. p. 317-327 (Lecture Notes in Computer Science; Vol. 4153).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity

AU - Ouzounis, Georgios K.

AU - Wilkinson, Michael H.F.

N1 - Relation: http://www.rug.nl/informatica/organisatie/overorganisatie/iwi Rights: University of Groningen, Research Institute for Mathematics and Computing Science (IWI)

PY - 2006

Y1 - 2006

N2 - Shape filters are a family of connected morphological operators that have been used for filament enhancement in biomedical imaging. They interact with connected image regions rather than individual pixels, which can either be removed or retained unmodified. This prevents edge distortion and noise amplification, a property particularly appreciated in filtering and segmentation. In this paper we investigate their performance using a generalized notion of connectivity that is referred to as "clustering-based connectivity". We show that we can capture thin fragmented structures which are filtered out with existing techniques.

AB - Shape filters are a family of connected morphological operators that have been used for filament enhancement in biomedical imaging. They interact with connected image regions rather than individual pixels, which can either be removed or retained unmodified. This prevents edge distortion and noise amplification, a property particularly appreciated in filtering and segmentation. In this paper we investigate their performance using a generalized notion of connectivity that is referred to as "clustering-based connectivity". We show that we can capture thin fragmented structures which are filtered out with existing techniques.

KW - COMPLETE LATTICES

KW - IMAGE

M3 - Conference contribution

SN - 3-540-37597-X

T3 - Lecture Notes in Computer Science

SP - 317

EP - 327

BT - ADVANCES IN MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS

A2 - Zheng, N

A2 - Jiang, null

A2 - lan, null

PB - Springer

CY - BERLIN

T2 - International Workshop on Intelligent Computer in Pattern Analysis/Synthesis

Y2 - 26 August 2006 through 27 August 2006

ER -

Filament Enhancement by Non-linear Volumetric Filtering Using Clustering-Based Connectivity

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