263 search results - page 33 / 53 » A framework for the efficient segmentation of large-format c... |
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper, we propose a novel rate-distortion (R-D) optimized disparity based coding scheme for stereo images. This new scheme efficiently integrates the coding of the dispari...
MICCAI
2004
Springer
14 years 8 months ago
2004
Springer
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Purely bottom-up, unsupervised segmentation of a single
image into two segments remains a challenging task for
computer vision. The co-segmentation problem is the process
of joi...
MICCAI
2008
Springer
14 years 8 months ago
2008
Springer
We propose a new framework for multi-object segmentation of deep brain structures, which have significant shape variations and relatively small sizes in medical brain images. In th...
ASIAMS
2007
IEEE
14 years 2 months ago
2007
IEEE
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...