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@inproceedings{1094752,
author = {Maška, Martin and MuñozandBarrutia, Arrate and OrtizanddeandSolórzano, Carlos},
address = {Barcelona},
booktitle = {9th IEEE International Symposium on Biomedical Imaging},
keywords = {Cell tracking;Chan-Vese model;fluorescence microscopy;level set framework},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Barcelona},
isbn = {978-1-4577-1857-1},
pages = {1316–1319},
publisher = {IEEE},
title = {Fast Tracking of Fluorescent Cells Based on the Chan-Vese Model},
url = {http://dx.doi.org/10.1109/ISBI.2012.6235805},
year = {2012}
}
TY - JOUR
ID - 1094752
AU - Maška, Martin - Muñoz-Barrutia, Arrate - Ortiz-de-Solórzano, Carlos
PY - 2012
TI - Fast Tracking of Fluorescent Cells Based on the Chan-Vese Model
PB - IEEE
CY - Barcelona
SN - 9781457718571
KW - Cell tracking;Chan-Vese model;fluorescence microscopy;level set framework
UR - http://dx.doi.org/10.1109/ISBI.2012.6235805
N2 - We present a fast and robust approach to tracking whole fluorescent cells in time-lapse series. The proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise and enhance flow-like structures. Second, the enhanced cell boundaries are detected by minimizing the Chan-Vese model in a fast level set-like framework. To allow simultaneous tracking of multiple cells over time, the contour evolution has been integrated with a topological prior exploiting the object indication function. Preliminary tracking experiments on 2D time-lapse series of GFP-transfected adipose-derived stem cells demonstrate high accuracy and short execution times.
ER -
MAŠKA, Martin, Arrate MUÑOZ-BARRUTIA a Carlos ORTIZ-DE-SOLÓRZANO. Fast Tracking of Fluorescent Cells Based on the Chan-Vese Model. Online. In \textit{9th IEEE International Symposium on Biomedical Imaging}. Barcelona: IEEE, 2012, s.~1316–1319. ISBN~978-1-4577-1857-1.
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