An MRF-UNet Product of Experts for Image Segmentation.
Mikael BrudforsYaël BalbastreJohn AshburnerGeraint ReesParashkev NachevSébastien OurselinM. Jorge CardosoPublished in: MIDL (2021)
Keyphrases
- image segmentation
- markov random field
- graph cuts
- mrf model
- energy function
- energy minimization
- belief propagation
- boundary detection
- object segmentation
- segmentation algorithm
- image processing
- segmentation method
- level set method
- level set
- graph partitioning
- fuzzy c means
- computer vision
- life cycle
- image understanding
- multiscale
- active contours
- deformable models
- potential functions
- pairwise
- energy functional
- parameter estimation
- region growing
- gray level
- human experts
- maximum a posteriori
- region merging
- perceptual grouping
- product quality
- image segmentation algorithm
- segmented images
- image analysis
- higher order
- shape prior
- conditional random fields
- high order
- random fields
- spectral clustering
- product information
- expert finding
- unsupervised image segmentation
- markov random field model
- mrf optimization
- variational level set