Poster: Classification of cell nuclei using shape and texture indexes

Guillaume Thibault, Caroline Devic, Jean François Horn, Bernard Fertil, Jean Sequeira, Jean Luc Mari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, we present a study on the characterization and the classification of binary digital objects. This study is performed using a set of values obtained by the computation of "shape and texture indexes". To get the shape indexes, we extract a set of data called "measures" from 2D shapes, like for example surface and perimeter. These indexes are then used as parameters of a function returning a real value that gives information about geometrical and morphological features of the shape to analyze. A model characterizing the shape (and the texture) of objects is subsequently built. An application to the classification of cell nuclei (in order to diagnose patients affected by the Progeria syndrome) is proposed.

Original languageEnglish (US)
Title of host publication16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2008 - In Co-operation with EUROGRAPHICS, Full Papers
Pages25-28
Number of pages4
StatePublished - Dec 1 2008
Externally publishedYes
Event16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2008, WSCG'2008 - Plzen, Czech Republic
Duration: Feb 4 2008Feb 7 2008

Publication series

Name16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2008 - In Co-operation with EUROGRAPHICS, Full Papers

Other

Other16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2008, WSCG'2008
Country/TerritoryCzech Republic
CityPlzen
Period2/4/082/7/08

Keywords

  • Cell nuclei classification
  • Haralick's features
  • Pattern recognition
  • Shape and textures indexes

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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