Segmentation of noisy images modelled by Markov random fields with Gibbs distribution.
M. El-GabaliMalayappan ShridharMajid AhmadiPublished in: ICASSP (1987)
Keyphrases
- noisy images
- markov random field
- gibbs distribution
- map estimation
- gibbs energy
- energy function
- image segmentation
- edge detection
- mrf model
- maximum a posteriori
- denoising
- noise level
- image denoising
- low level vision
- graph cuts
- textured images
- belief propagation
- random fields
- higher order
- pairwise
- parameter estimation
- segmentation method
- multiscale
- image restoration
- random walk
- conditional random fields
- level set
- image reconstruction
- high quality
- machine learning