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ICASSP
2011
IEEE
14 years 10 months ago
A metric approach toward point process divergence
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
Sohan Seth, Austin J. Brockmeier, José Carl...
COMGEO
2012
ACM
14 years 2 months ago
Preserving geometric properties in reconstructing regions from internal and nearby points
The problem of reconstructing a region from a set of sample points is common in many geometric applications, including computer vision. It is very helpful to be able to guarantee ...
Ernest Davis
ISBI
2009
IEEE
16 years 1 months ago
Accurate and Fast 3D Colon Segmentation in CT Colonography
This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liq...
Dongqing Chen, Rachid Fahmi, Aly A. Farag, Robert ...
ICIP
2003
IEEE
16 years 8 months ago
PDE-based modeling of image segmentation using volumic flooding
The classical case of morphological segmentation is based on the watershed transform, constructed by flooding the gradient image, which is seen as a topographic surface, with cons...
Anastasia Sofou, Petros Maragos
ICIP
2003
IEEE
16 years 8 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth