Comparison of multi-label graph cuts method and Monte Carlo simulation with block-spin transformation for the piecewise constant Mumford-Shah segmentation model.
Satoshi SashidaYutaka OkabeHwee Kuan LeePublished in: Comput. Vis. Image Underst. (2014)
Keyphrases
- piecewise constant
- mumford shah
- graph cuts
- energy function
- multi label
- piecewise smooth
- mumford shah functional
- level set
- mean shift
- energy functional
- image segmentation
- shape prior
- mumford shah model
- level set method
- segmentation algorithm
- variational framework
- energy minimization
- probabilistic model
- markov random field
- similarity measure
- velocity field
- belief propagation
- text categorization
- objective function
- image classification
- prior knowledge
- curve evolution
- computer vision
- segmentation method
- bayesian estimation
- bayesian framework
- multiscale
- expectation maximization
- partial differential equations
- prior information
- markov chain