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Joint Tracking of Cell Morphology and Motion.
- Source :
- Pattern Recognition in Bioinformatics (9783642040306); 2009, p36-45, 10p
- Publication Year :
- 2009
-
Abstract
- A new method is proposed for joint tracking of cell morphology and motion from 3D temporal cellular images. We adopt the framework of region-based active contours for segmentation, which is able to cope with objects having blurred boundaries. Motion estimation is performed by optical flow to increase the robustness and accuracy. Cell morphology and motion are modelled via a unified energy formulation and estimated iteratively searching for the minimum energy configuration. Experiments are carried out on synthetic and real cellular images to demonstrate the performance of the method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783642040306
- Database :
- Complementary Index
- Journal :
- Pattern Recognition in Bioinformatics (9783642040306)
- Publication Type :
- Book
- Accession number :
- 76739471
- Full Text :
- https://doi.org/10.1007/978-3-642-04031-3_4