300 search results - page 1 / 60 » An information theoretic framework for image segmentation |
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogr...
AUSAI
2009
Springer
13 years 11 months ago
2009
Springer
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
IPMI
2003
Springer
14 years 5 months ago
2003
Springer
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implici...
ISBI
2004
IEEE
14 years 5 months ago
2004
IEEE
This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...
BMVC
2001
13 years 7 months ago
2001
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...