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Joint Tracking of Cell Morphology and Motion.

Authors :
Cheng, Jierong
Koh, Esther G. L.
Ahmed, Sohail
Rajapakse, Jagath C.
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