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@inproceedings{989710,
author = {Majtner, Tomáš and Svoboda, David},
address = {Los Alamitos, CA, USA},
booktitle = {2012 Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization & Transmission},
keywords = {image descriptors; Tamura features; 3D},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Los Alamitos, CA, USA},
isbn = {978-0-7695-4873-9},
pages = {301-307},
publisher = {IEEE Computer Society},
title = {Extension of Tamura Texture Features for 3D Fluorescence Microscopy},
year = {2012}
}
TY - JOUR
ID - 989710
AU - Majtner, Tomáš - Svoboda, David
PY - 2012
TI - Extension of Tamura Texture Features for 3D Fluorescence Microscopy
PB - IEEE Computer Society
CY - Los Alamitos, CA, USA
SN - 9780769548739
KW - image descriptors
KW - Tamura features
KW - 3D
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.
ER -
MAJTNER, Tomáš a David SVOBODA. Extension of Tamura Texture Features for 3D Fluorescence Microscopy. In \textit{2012 Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization \&{} Transmission}. Los Alamitos, CA, USA: IEEE Computer Society, 2012, s.~301-307. ISBN~978-0-7695-4873-9.
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