MCMC Curve Sampling for Image Segmentation.
Ayres C. FanJohn W. Fisher IIIWilliam M. Wells IIIJames J. LevittAlan S. WillskyPublished in: MICCAI (2) (2007)
Keyphrases
- image segmentation
- markov chain monte carlo
- monte carlo
- curve evolution
- sampling algorithm
- metropolis hastings
- markov chain
- importance sampling
- markov chain monte carlo sampling
- parameter estimation
- posterior distribution
- boundary detection
- generative model
- markov random field
- gibbs sampling
- graph cuts
- level set method
- method for image segmentation
- approximate inference
- region growing
- level set
- bayesian inference
- random sampling
- endpoints
- posterior probability
- image segmentation algorithm
- geodesic active contours
- deformable models
- energy function
- multiscale
- spectral clustering
- sampling methods
- simulated annealing
- segmentation method
- unsupervised image segmentation
- segmentation algorithm
- expectation maximization
- particle filter
- image processing
- roc curve
- energy functional
- shape prior
- b spline
- gray level
- active contours
- particle filtering
- bayesian framework
- contour detection
- evolution equation
- sample size
- proposal distribution
- parametric curves
- geometric active contours
- computer vision