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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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ICASSP
2010
IEEE
15 years 2 months ago
An estimation method for the relative phase parameters of complex wavelet coefficients in noise
This paper proposes a method to estimate the parameters of the relative phase probability density function (RP pdf) of the complex coefficients when the image is corrupted by add...
Yothin Rakvongthai, Soontorn Oraintara
IPMI
2005
Springer
16 years 2 months ago
Spherical Navigator Registration Using Harmonic Analysis for Prospective Motion Correction
Spherical navigators are an attractive approach to motion compensation in Magnetic Resonance Imaging. Because they can be acquired quickly, spherical navigators have the potential ...
Christopher L. Wyatt, Narter Ari, Robert A. Kraft
ICIP
2008
IEEE
15 years 8 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
ICIP
2001
IEEE
16 years 3 months ago
EM algorithms of Gaussian mixture model and hidden Markov model
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Guorong Xuan, Wei Zhang, Peiqi Chai
138
Voted
BMVC
1998
15 years 3 months ago
The Precision of 3D Reconstruction from Uncalibrated Views
We consider reconstruction algorithms using points tracked over a sequence of (at least three) images, to estimate the positions of the cameras (motion parameters), the 3D coordin...
Etienne Grossmann, José Santos-Victor