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» Enhancements for Local Feature Based Image Classification
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MICCAI
2003
Springer
14 years 11 months ago
A Multiscale Feature Detector for Morphological Analysis of the Brain
Feature detection on MR images has largely relied on intensity classification and gradient-based magnitudes. In this paper, we propose the use of phase congruency as a more robust ...
Marius George Linguraru, Miguel Ángel Gonz&...
MICCAI
2008
Springer
14 years 11 months ago
A Local Mutual Information Guided Denoising Technique and Its Application to Self-calibrated Partially Parallel Imaging
Abstract. The application of Partially Parallel Imaging (PPI) techniques to regular clinical Magnetic Resonance Imaging (MRI) studies has brought about the benefit of significantly...
Weihong Guo, Feng Huang
TMI
2010
151views more  TMI 2010»
13 years 4 months ago
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns
Abstract--We aim at improving quantitative measures of emphysema in computed tomography (CT) images of the lungs. Current standard measures, such as the relative area of emphysema ...
Lauge Sørensen, Saher B. Shaker, Marleen de...
ICCV
2009
IEEE
13 years 8 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
CVPR
2005
IEEE
15 years 5 days ago
Multi-Image Matching Using Multi-Scale Oriented Patches
This paper describes a novel multi-view matching framework based on a new type of invariant feature. Our features are located at Harris corners in discrete scale-space and oriente...
Matthew Brown, Richard Szeliski, Simon A. J. Winde...