Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning.
Talita PercianoDaniela Mayumi UshizimaE. Wes BethelYariv Dror MizrahiDilworth ParkinsonJames A. SethianPublished in: ICIP (2016)
Keyphrases
- markov random field
- graph partitioning
- image segmentation
- reduced complexity
- min cut
- mrf model
- graph cuts
- vector quantization
- energy function
- maximum a posteriori
- energy minimization
- belief propagation
- conditional random fields
- image processing
- segmentation algorithm
- normalized cut
- level set
- graph model
- segmentation method
- active contours
- spectral clustering
- potential functions
- object segmentation
- computer vision
- multiscale
- shape prior
- message passing
- weighted graph
- computational complexity
- object recognition
- feature space
- image features
- clustering algorithm
- image compression