Live cell segmentation in fluorescence microscopy via graph cut

Milán Leskó, Zoltan Kato, Antal Nagy, Imre Gombos, Zsolt Török, László Vígh, László Vígh

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

12 Citations (Scopus)

Abstract

We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is submodular. Thus the exact energy minima is obtained via a max-flow/min-cut algorithm. The method has been quantitatively evaluated on synthetic images as well as on fluorescence microscopic images of live cells.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages1485-1488
Number of pages4
DOIs
Publication statusPublished - Nov 18 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: Aug 23 2010Aug 26 2010

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
CountryTurkey
CityIstanbul
Period8/23/108/26/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Leskó, M., Kato, Z., Nagy, A., Gombos, I., Török, Z., Vígh, L., & Vígh, L. (2010). Live cell segmentation in fluorescence microscopy via graph cut. In Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (pp. 1485-1488). [5597303] (Proceedings - International Conference on Pattern Recognition). https://doi.org/10.1109/ICPR.2010.367