Segmentation of complex nucleus configurations in biological images

Authors:
F. Cloppet;A. Boucher
Affiliations:
UFR de Mathématiques et d'Informatique, LIPADE, Université Paris Descartes 45, Rue des Saints Pères 75006 Paris, France;UFR de Mathématiques et d'Informatique, LIPADE, Université Paris Descartes 45, Rue des Saints Pères 75006 Paris, France
Venue:
Pattern Recognition Letters
Year:
2010

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Abstract

This paper presents a new segmentation method of complex nucleus configurations. The specificity of this work is to introduce prior information about the usual shape of cells nuclei, in order to optimize the selection of markers from which the flooding will start, during the watershed-based segmentation.