222 search results - page 10 / 45 » Self-Validated Labeling of Markov Random Fields for Image Se... |
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
ICIP
2002
IEEE
14 years 9 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...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
We propose a binary Markov Random Field (MRF) model
that assigns high probability to regions in the image domain
consisting of an unknown number of circles of a given radius.
We...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...