An MRF-UNet Product of Experts for Image Segmentation.
Mikael BrudforsYaël BalbastreJohn AshburnerGeraint ReesParashkev NachevSébastien OurselinM. Jorge CardosoPublished in: CoRR (2021)
Keyphrases
- image segmentation
- markov random field
- graph cuts
- energy function
- mrf model
- energy minimization
- belief propagation
- segmentation algorithm
- image processing
- active contours
- level set
- shape prior
- pairwise
- prior model
- region merging
- markov random field model
- gray level
- higher order
- product quality
- computer vision
- texture segmentation
- boundary detection
- level set method
- object segmentation
- fuzzy c means
- mrf optimization
- image analysis
- human experts
- maximum a posteriori
- multiscale
- min cut
- image segmentation algorithm
- conditional random fields
- product design
- deformable models
- potential functions
- life cycle
- region growing
- segmented images
- medical imaging
- high order
- product development
- textured images
- graph partitioning
- mean shift
- segmentation method
- product information
- contour detection
- random fields
- segmenting images
- image restoration