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» Level set image segmentation with Bayesian analysis
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CVPR
2009
IEEE
16 years 9 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»
15 years 3 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 8 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 7 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 8 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...