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» Robust Rician noise estimation for MR images
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ICASSP
2008
IEEE
14 years 2 months ago
Robust image registration with illumination, blur and noise variations for super-resolution
Super-resolution reconstruction algorithms assume the availability of exact registration and blur parameters. Inaccurate estimation of these parameters adversely affects the quali...
Himanshu Arora, Anoop M. Namboodiri, C. V. Jawahar
DPHOTO
2009
189views Hardware» more  DPHOTO 2009»
13 years 5 months ago
Automatic background generation from a sequence of images based on robust mode estimation
In this paper, we present a novel method for generating a background model from a sequence of images with moving objects. Our approach is based on non-parametric statistics and ro...
Desire Sidibé, Olivier Strauss, William Pue...
ISBI
2007
IEEE
14 years 1 months ago
Efficient Use of Cerebral Cortical Thickness to Correct Brain Mr Segmentation
Efficient, automatic and robust tools for measurement of cerebral cortical thickness would aid diagnosis and longitudinal studies of neurodegenerative disorders. In this work, we...
Thanh-Mai Diep, Pierrick Bourgeat, Sébastie...
MICCAI
2002
Springer
14 years 8 months ago
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
Abstract. The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field ...
Kilian M. Pohl, William M. Wells III, Alexandre Gu...
VISAPP
2007
13 years 8 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...