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109
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IVC
1998
65views more  IVC 1998»
15 years 3 months ago
Segmentation of MR images with intensity inhomogeneities
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
Jagath C. Rajapakse, Frithjof Kruggel
213
Voted
IVC
2008
141views more  IVC 2008»
15 years 3 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
98
Voted
ICPR
2010
IEEE
15 years 10 months ago
Joint Image GMM and Shading MAP Estimation
We consider a simple statistical model of the image, in which the image is represented as a sum of two parts: one part is explained by an i.i.d. color Gaussian mixture and the oth...
Alexander Shekhovtsov, Vaclav Hlavac
127
Voted
ICPR
2008
IEEE
16 years 4 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
132
Voted
ECCV
2006
Springer
16 years 5 months ago
Density Estimation Using Mixtures of Mixtures of Gaussians
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
Wael Abd-Almageed, Larry S. Davis