SCALESPACE
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In this paper we provide a method to find global minimizers of certain non-convex 2-phase image segmentation problems. This is achieved by formulating a convex minimizat...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
We consider the problem of segmenting a webpage into visually and semantically cohesive pieces. Our approach is based on formulating an appropriate optimization problem on weighte...
MICCAI
2006
Springer
14 years 5 months ago
2006
Springer
The segmentation problem appears in most medical imaging applications. Many research groups are pushing toward a whole body segmentation based on atlases. With a similar objective,...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
For many medical segmentation tasks, the contrast along most of the boundary of the target object is high, allowing simple thresholding or region growing approaches to provide near...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
We cast the problem of multiframe stereo reconstruction of a smooth shape as the global region segmentation of a collection of images of the scene. Dually, the problem of segmenti...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Color and texture have been widely used in image segmentation; however, their performance is often hindered by scene ambiguities, overlapping objects, or missing parts. In this pa...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Image segmentation plays an important role in computer vision and image analysis. In this paper, the segmentation problem is formulated as a labeling problem under a probability m...