Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

13

ICIP
2005
IEEE

favoriteEmaildiscussreport

150views Image Processing» more ICIP 2005»

SAR images as mixtures of Gaussian mixtures

14 years 6 months ago

SAR images as mixtures of Gaussian mixtures

Download mlg.eng.cam.ac.uk

We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture model of simple parametric components, typically truncated Gaussians. Clustering requires unsupervised inference of the model parameters, for which we derive a nested variant of the EM algorithm. This learning procedure is designed to deal with the large number of hidden variables required by the model. Results are presented for application of the algorithm to unsupervised segmentation of synthetic aperture radar (SAR) images.

Peter Orbanz, Joachim M. Buhmann

Real-time Traffic

Gaussian Mixtures | ICIP 2005 | Image Processing |

claim paper

Related Content

» Faithful Shape Representation for 2D Gaussian Mixtures

» SEC Stochastic Ensemble Consensus Approach to Unsupervised SAR SeaIce Segmentation

» Image denoising using mixtures of Gaussian scale mixtures

» Segmentation of SAR Image Using Mixture Multiscale ARMA Network

» Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts

» Image Denoising with an OrientationAdaptive Gaussian Scale Mixture Model

» Image restoration using Gaussian scale mixtures in the wavelet domain

» DeblurringbyDenoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyr...

» Color Texture Segmentation by Decomposition of Gaussian Mixture Model

Post Info
More Details (n/a)

Added	23 Oct 2009
Updated	14 Nov 2009
Type	Conference
Year	2005
Where	ICIP
Authors	Peter Orbanz, Joachim M. Buhmann

Comments (0)