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» Noisy Image Segmentation Based on a Level Set Evolution
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ECCV
2010
Springer
15 years 2 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
100
Voted
TMI
2008
142views more  TMI 2008»
14 years 11 months ago
Wavelet Based Noise Reduction in CT-Images Using Correlation Analysis
Abstract-- The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. We present a new wavelet based structurep...
Anja Borsdorf, Rainer Raupach, Thomas Flohr, Joach...
136
Voted
CVPR
2008
IEEE
14 years 11 months ago
Tracking distributions with an overlap prior
Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/t...
Ismail Ben Ayed, Shuo Li, Ian G. Ross
ISM
2005
IEEE
133views Multimedia» more  ISM 2005»
15 years 5 months ago
Image Based Tracking of News Stories
Broadcasters often reuse video clips while reporting news stories. New clips are added to the story as it develops replacing old clips. A subset of these video clips may be replay...
Jedrzej Z. Miadowicz, John M. Gauch, Abhishek Shiv...
82
Voted
DICTA
2003
15 years 1 months ago
Extracting Boundaries from Images by Comparing Cooccurrence Matrices
Abstract. This paper describes methods of extracting region boundaries from the frames of an image sequence by combining information from spatial or temporal cooccurrence matrices ...
Astrit Rexhepi, Azriel Rosenfeld