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» Cell Tracking and Segmentation in Electron Microscopy Images...
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ICIP
2009
IEEE
14 years 7 months ago
Exploiting Local Structure For Tracking Plant Cells In Noisy Images
In this paper, we present a local graph matching based method for tracking cells and cell divisions in noisy images. We work with plant cells, where the cells are tightly clustere...
ICIP
2007
IEEE
14 years 8 months ago
Modeling of Front Evolution with Graph Cut Optimization
In this paper, we present a novel active contour model, in which the traditional gradient descent optimization is replaced by graph cut optimization. The basic idea is to first de...
Hang Chang, Qing Yang, Manfred Auer, Bahram Parvin
CIBCB
2006
IEEE
14 years 8 days ago
A Novel Graphical Model Approach to Segmenting Cell Images
— Successful biological image analysis usually requires satisfactory segmentations to identify regions of interest as an intermediate step. Here we present a novel graphical mode...
Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, R...
ICCV
2007
IEEE
14 years 8 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
ISBI
2008
IEEE
14 years 19 days ago
An optimal-path approach for neural circuit reconstruction
Neurobiologists are collecting large amounts of electron microscopy image data to gain a better understanding of neuron organization in the central nervous system. Image analysis ...
Elizabeth Jurrus, Ross T. Whitaker, Bryan W. Jones...