68 search results - page 9 / 14 » Effective Level Set Image Segmentation With a Kernel Induced... |
MICCAI
2009
Springer
14 years 8 months ago
2009
Springer
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
CVPR
1997
IEEE
13 years 11 months ago
1997
IEEE
In this paper we focus on using local 3D structure for segmentation. A tensor descriptor is estimated for each neighbourhood, i.e. for each voxel in the data set. The tensors are ...
TMI
2002
13 years 7 months ago
2002
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
3DPVT
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper we propose a novel framework for efficiently extracting foreground objects in so called shortbaseline image sequences. We apply the obtained segmentation to improve...