8 search results - page 1 / 2 » Label Set Perturbation for MRF based Neuroimaging Segmentati... |
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Graph-cuts based algorithms are effective for a variety
of segmentation tasks in computer vision. Ongoing research
is focused toward making the algorithms even more general,
as ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We formulate single-image multi-label segmentation into regions coherent in texture and color as a MAX-SUM problem for which efficient linear programming based solvers have recent...
PAMI
2010
13 years 3 months ago
2010
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
ICIP
2002
IEEE
14 years 7 months ago
2002
IEEE
A method for segmenting and recognizing text embedded in video and images is proposed in this paper. In the method, multiple segmentation of the same text region is performed, thu...