Extension of tamura texture features for 3D fluorescence microscopy

Tomáš Majtner*, David Svoboda

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

The image descriptors are a very useful tool in the task of classification. In biomedical image analysis, they may characterize either the shape or the internal structure of studied objects. Both characteristics are very important. When analysing cells, their shape is usually determined first. In the second step, their mask may be used for the selection of the area where the texture descriptor should be applied. In this paper, we are going to focus on the texture-based image descriptors called Tamura features. For their basic properties, they seem to be a very promising tool applicable to the biomedical image data. We will apply them to selected types of cell lines and test how they perform. We will also introduce their extension to higher dimensions and show that they give even better results than in the 2D case.

OriginalsprogEngelsk
TitelProceedings - 2nd Joint 3DIM/3DPVT Conference : 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012
Antal sider7
Publikationsdato1. dec. 2012
Sider301-307
Artikelnummer6375008
ISBN (Trykt)9780769548739
DOI
StatusUdgivet - 1. dec. 2012
Begivenhed2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012 - Zurich, Schweiz
Varighed: 13. okt. 201215. okt. 2012

Konference

Konference2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012
LandSchweiz
ByZurich
Periode13/10/201215/10/2012
SponsorDisney Research, Leica Geosystems, Hexagon, Adobe, RealD
NavnProceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012

Fingeraftryk

Fluorescence microscopy
Textures
Image analysis
Masks
Cells

Citer dette

Majtner, T., & Svoboda, D. (2012). Extension of tamura texture features for 3D fluorescence microscopy. I Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012 (s. 301-307). [6375008] Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012 https://doi.org/10.1109/3DIMPVT.2012.61
Majtner, Tomáš ; Svoboda, David. / Extension of tamura texture features for 3D fluorescence microscopy. Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012. 2012. s. 301-307 (Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012).
@inproceedings{9c63b39d790540879eda428487347316,
title = "Extension of tamura texture features for 3D fluorescence microscopy",
abstract = "The image descriptors are a very useful tool in the task of classification. In biomedical image analysis, they may characterize either the shape or the internal structure of studied objects. Both characteristics are very important. When analysing cells, their shape is usually determined first. In the second step, their mask may be used for the selection of the area where the texture descriptor should be applied. In this paper, we are going to focus on the texture-based image descriptors called Tamura features. For their basic properties, they seem to be a very promising tool applicable to the biomedical image data. We will apply them to selected types of cell lines and test how they perform. We will also introduce their extension to higher dimensions and show that they give even better results than in the 2D case.",
author = "Tom{\'a}š Majtner and David Svoboda",
year = "2012",
month = "12",
day = "1",
doi = "10.1109/3DIMPVT.2012.61",
language = "English",
isbn = "9780769548739",
pages = "301--307",
booktitle = "Proceedings - 2nd Joint 3DIM/3DPVT Conference",

}

Majtner, T & Svoboda, D 2012, Extension of tamura texture features for 3D fluorescence microscopy. i Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012., 6375008, Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012, s. 301-307, 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012, Zurich, Schweiz, 13/10/2012. https://doi.org/10.1109/3DIMPVT.2012.61

Extension of tamura texture features for 3D fluorescence microscopy. / Majtner, Tomáš; Svoboda, David.

Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012. 2012. s. 301-307 6375008 (Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - Extension of tamura texture features for 3D fluorescence microscopy

AU - Majtner, Tomáš

AU - Svoboda, David

PY - 2012/12/1

Y1 - 2012/12/1

N2 - The image descriptors are a very useful tool in the task of classification. In biomedical image analysis, they may characterize either the shape or the internal structure of studied objects. Both characteristics are very important. When analysing cells, their shape is usually determined first. In the second step, their mask may be used for the selection of the area where the texture descriptor should be applied. In this paper, we are going to focus on the texture-based image descriptors called Tamura features. For their basic properties, they seem to be a very promising tool applicable to the biomedical image data. We will apply them to selected types of cell lines and test how they perform. We will also introduce their extension to higher dimensions and show that they give even better results than in the 2D case.

AB - The image descriptors are a very useful tool in the task of classification. In biomedical image analysis, they may characterize either the shape or the internal structure of studied objects. Both characteristics are very important. When analysing cells, their shape is usually determined first. In the second step, their mask may be used for the selection of the area where the texture descriptor should be applied. In this paper, we are going to focus on the texture-based image descriptors called Tamura features. For their basic properties, they seem to be a very promising tool applicable to the biomedical image data. We will apply them to selected types of cell lines and test how they perform. We will also introduce their extension to higher dimensions and show that they give even better results than in the 2D case.

UR - http://www.scopus.com/inward/record.url?scp=84872036527&partnerID=8YFLogxK

U2 - 10.1109/3DIMPVT.2012.61

DO - 10.1109/3DIMPVT.2012.61

M3 - Article in proceedings

SN - 9780769548739

SP - 301

EP - 307

BT - Proceedings - 2nd Joint 3DIM/3DPVT Conference

ER -

Majtner T, Svoboda D. Extension of tamura texture features for 3D fluorescence microscopy. I Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012. 2012. s. 301-307. 6375008. (Proceedings - 2nd Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2012). https://doi.org/10.1109/3DIMPVT.2012.61