Title :
Segmentation of overlapping/aggregating nuclei cells in biological images
Author :
Cloppet, Florence ; Boucher, Alain
Author_Institution :
Crip5-Sip, Univ. Paris Descartes, Paris
Abstract :
This paper presents a method of overlapping/aggregating nuclei cells segmentation. This method is based on the watershed segmentation algorithm, but the specificity of this work is to introduce some prior information about the usual shape of normal/pathological nuclei cells. Such prior information will help to optimize the right set of markers, from which the flooding will be done. This approach has been implemented and tested, and the results evaluated by cell biology experts show the efficiency of the proposed approach.
Keywords :
biological techniques; biology computing; cellular biophysics; image segmentation; transforms; aggregating nuclei cell segmentation; biological image segmentation; overlapping nuclei cell segmentation; pathological nuclei cell shape; watershed segmentation algorithm; watershed transform; Cells (biology); Diseases; Image analysis; Image segmentation; Immune system; Immunity testing; Morphology; Optical microscopy; Pathology; Shape;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761451
