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» Segmenting Images Corrupted by Correlated Noise
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ICASSP
2011
IEEE
12 years 11 months ago
Region-based image fusion using a combinatory Chebyshev-ICA method
The aim of this paper is to provide an algorithm for image fusion which combines the techniques of Chebyshev polynomial (CP) approximation and independent component analysis (ICA)...
Zaid Omar, Nikolaos Mitianoudis, Tania Stathaki
TMI
2002
185views more  TMI 2002»
13 years 7 months ago
A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI inten...
Mohamed N. Ahmed, Sameh M. Yamany, Nevin Mohamed, ...
PAMI
2007
123views more  PAMI 2007»
13 years 6 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
ISVC
2007
Springer
14 years 1 months ago
Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments
Abstract. The iris is currently accepted as one of the most accurate traits for biometric purposes. However, for the sake of accuracy, iris recognition systems rely on good quality...
Hugo Proença, Luís A. Alexandre
CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 4 months ago
Real-time Robust Principal Components' Pursuit
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...
Chenlu Qiu, Namrata Vaswani