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16 years 6 months ago
Distance-based Speed Functions for Level Set Methods in Image Segmentation
"Level set methods are a well-known means for the segmentation of objects in image data. In this paper, we discuss a class of easy to calculate terms based on distance measure...
Karsten Rink and Klaus Tonnies
ICIAP
2003
ACM
15 years 10 months ago
Automatic segmentation of MR images based on adaptive anisotropic filtering
A novel approach to the detection of multiple sclerosis (MS) lesions is presented, which uses an adaptive formulation of the anisotropic diffusion and fuzzy-c-means (FCM) clusteri...
Edoardo Ardizzone, Roberto Pirrone, Orazio Gambino
NIPS
2008
14 years 11 months ago
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
We present a new co-clustering problem of images and visual features. The problem involves a set of non-object images in addition to a set of object images and features to be co-c...
Tae-Kyun Kim, Roberto Cipolla
MICCAI
2009
Springer
15 years 11 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
ACCV
2009
Springer
15 years 4 months ago
3D Motion Segmentation Using Intensity Trajectory
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels ass...
Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Poll...