Extension of Tamura Texture Features for 3D Fluorescence Microscopy

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Authors

MAJTNER Tomáš SVOBODA David

Year of publication 2012
Type Article in Proceedings
Conference 2012 Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization & Transmission
MU Faculty or unit

Faculty of Informatics

Citation
Field Use of computers, robotics and its application
Keywords image descriptors; Tamura features; 3D
Description 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.
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