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» Level set image segmentation with Bayesian analysis
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CVPR
2009
IEEE
16 years 5 months ago
Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
TMI
2008
142views more  TMI 2008»
14 years 11 months ago
Wavelet Based Noise Reduction in CT-Images Using Correlation Analysis
Abstract-- The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. We present a new wavelet based structurep...
Anja Borsdorf, Rainer Raupach, Thomas Flohr, Joach...
ISVC
2005
Springer
15 years 4 months ago
Riemannian Mean Curvature Flow
In this paper we explicitly derive a level set formulation for mean curvature flow in a Riemannian metric space. This extends the traditional geodesic active contour framework whi...
Raúl San José Estépar, Steven...
ACIVS
2006
Springer
15 years 2 months ago
Robust Analysis of Silhouettes by Morphological Size Distributions
We address the topic of real-time analysis and recognition of silhouettes. The method that we propose first produces object features obtained by a new type of morphological operato...
Olivier Barnich, Sébastien Jodogne, Marc Va...
SCVMA
2004
Springer
15 years 4 months ago
Analysis and Interpretation of Multiple Motions Through Surface Saliency
1 . The problem of recovering the 3-D camera and scene structure has been intensively studied and is considered well understood. Starting with two images, a process of establishing...
Mircea Nicolescu, Changki Min, Gérard G. Me...