About: Extension of Tamura Texture Features for 3D Fluorescence Microscopy     Goto   Sponge   NotDistinct   Permalink

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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.
  • 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. (en)
Title
  • Extension of Tamura Texture Features for 3D Fluorescence Microscopy
  • Extension of Tamura Texture Features for 3D Fluorescence Microscopy (en)
skos:prefLabel
  • Extension of Tamura Texture Features for 3D Fluorescence Microscopy
  • Extension of Tamura Texture Features for 3D Fluorescence Microscopy (en)
skos:notation
  • RIV/00216224:14330/12:00057527!RIV13-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP302/12/G157), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 135914
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/12:00057527
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image descriptors; Tamura features; 3D (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [15CC00F2EB66]
http://linked.open...v/mistoKonaniAkce
  • Zurich, Switzerland
http://linked.open...i/riv/mistoVydani
  • Los Alamitos, CA, USA
http://linked.open...i/riv/nazevZdroje
  • 2012 Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization & Transmission
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Svoboda, David
  • Majtner, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 9780769548739
http://localhost/t...ganizacniJednotka
  • 14330
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