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» A Segmentation Algorithm for Contrast-Enhanced Images
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ICCV
2009
IEEE
15 years 2 months ago
An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional
In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algori...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
PR
2007
85views more  PR 2007»
13 years 8 months ago
Grey-level hit-or-miss transforms - part II: Application to angiographic image processing
The hit-or-miss transform (HMT) is a fundamental operation on binary images, widely used since 40 years. As it is not increasing, its extension to grey-level images is not straigh...
Benoît Naegel, Nicolas Passat, Christian Ron...
CVPR
2008
IEEE
14 years 11 months ago
Matching non-rigidly deformable shapes across images: A globally optimal solution
While global methods for matching shapes to images have recently been proposed, so far research has focused on small deformations of a fixed template. In this paper we present the...
Thomas Schoenemann, Daniel Cremers
KES
2005
Springer
14 years 2 months ago
3-D Building Reconstruction Using IKONOS Multispectral Stereo Images
This paper presents an effective strategy to extract the buildings and to reconstruct 3-D buildings using high-resolution multispectral stereo satellite images. Proposed scheme con...
Hong-Gyoo Sohn, Choung-Hwan Park, Joon Heo
PAMI
2010
192views more  PAMI 2010»
13 years 7 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum