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Cell Segmentation Using Level Set Methods with a New Variance Term
- 1.0461983 - ÚTIA 2017 RIV CH eng C - Conference Paper (international conference)
Bílková, Zuzana - Soukup, Jindřich - Kučera, V.
Cell Segmentation Using Level Set Methods with a New Variance Term.
Image Analysis and Recognition : 13th International Conference, ICIAR 2016. Cham: Springer, 2016, s. 183-190. Lecture Notes in Computer Science, 9730. ISBN 978-3-319-41500-0. ISSN 0302-9743.
[International Conference Image Analysis and Recognition 2016. Póvoa de Varzim (PT), 13.07.2016-15.07.2016]
R&D Projects: GA ČR GA13-29225S
Grant - others:GA UK(CZ) 914813/2013; SVV(CZ) 2016-260332
Institutional support: RVO:67985556
Keywords : segmentation * level set method * active contours * phase contrast microscopy
Subject RIV: JD - Computer Applications, Robotics
http://library.utia.cas.cz/separaty/2016/ZOI/bilkova-0461983.pdf
We present a new method for segmentation of phase-contrast microscopic images of cells. The algorithm is based on the variational for-mulation of the level set method, i.e. minimizing of a functional, which describes the level set function. The functional is minimized by a gradi-ent ow described by an evolutionary partial dierential equation. The most signicant new ideas are initialization using thresholding and the introduction of a new term based on local variance that speeds up con-vergence and achieves more accurate results. The proposed algorithm is applied on real data and compared with another algorithm.
Permanent Link: http://hdl.handle.net/11104/0261538
Number of the records: 1