497 search results - page 42 / 100 » Image Segmentation as Learning on Hypergraphs |
MICCAI
2005
Springer
14 years 11 months ago
2005
Springer
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
SCIA
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
IPMI
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
ECCV
2010
Springer
14 years 3 months ago
2010
Springer
To learn the preferential visual attention given by humans to specific image content, we present NUSEF- an eye fixation database compiled from a pool of 758 images and 75 subjects....
ISBI
2007
IEEE
14 years 5 months ago
2007
IEEE
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...