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@inproceedings{798739,
author = {Daněk, Ondřej and Matula, Pavel and OrtizanddeandSolórzano, Carlos and MuñozandBarrutia, Arrate and Maška, Martin and Kozubek, Michal},
address = {Berlin, Heidelberg},
booktitle = {16th Scandinavian Conference on Image Analysis},
doi = {http://dx.doi.org/10.1007/978-3-642-02230-2_42},
keywords = {image segmentation; cell nuclei cluster separation; graph cuts; energy minimization},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin, Heidelberg},
isbn = {978-3-642-02229-6},
note = {LNCS 5575},
pages = {410-419},
publisher = {Springer-Verlag},
title = {Segmentation of Touching Cell Nuclei using a Two-Stage Graph Cut Model},
url = {http://dx.doi.org/10.1007/978-3-642-02230-2_42},
year = {2009}
}
TY - JOUR
ID - 798739
AU - Daněk, Ondřej - Matula, Pavel - Ortiz-de-Solórzano, Carlos - Muñoz-Barrutia, Arrate - Maška, Martin - Kozubek, Michal
PY - 2009
TI - Segmentation of Touching Cell Nuclei using a Two-Stage Graph Cut Model
PB - Springer-Verlag
CY - Berlin, Heidelberg
SN - 9783642022296
N1 - LNCS 5575
KW - image segmentation
KW - cell nuclei cluster separation
KW - graph cuts
KW - energy minimization
UR - http://dx.doi.org/10.1007/978-3-642-02230-2_42
N2 - Methods based on combinatorial graph cut algorithms received a lot of attention in the recent years for their robustness as well as reasonable computational demands. These methods are built upon an underlying maximum a posteriori estimation of Markov random fields and are suitable to solve accurately many different problems in image analysis, including image segmentation. In this paper we propose a two-stage graph cut based model for segmentation of touching cell nuclei in fluorescence microscopy images. In the first stage voxels with very high probability of being foreground or background are found and separated by a boundary with a minimal geodesic length. In the second stage the obtained clusters are split into isolated cells by combining image gradient information and incorporated a priori knowledge about the shape of the nuclei. Moreover, these two qualities can be easily balanced using a single user parameter. Preliminary tests on real data show promising results of the method.
ER -
DANĚK, Ondřej, Pavel MATULA, Carlos ORTIZ-DE-SOLÓRZANO, Arrate MUÑOZ-BARRUTIA, Martin MAŠKA and Michal KOZUBEK. Segmentation of Touching Cell Nuclei using a Two-Stage Graph Cut Model. In \textit{16th Scandinavian Conference on Image Analysis}. Berlin, Heidelberg: Springer-Verlag, 2009, p.~410-419. ISBN~978-3-642-02229-6. Available from: https://dx.doi.org/10.1007/978-3-642-02230-2\_{}42.
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