A scalable clustering algorithm to approximate graph cuts.
Leo SuchanHousen LiAxel MunkPublished in: CoRR (2023)
Keyphrases
- graph cuts
- clustering algorithm
- energy function
- energy minimization
- belief propagation
- markov random field
- normalized cut
- segmentation algorithm
- shape prior
- image segmentation
- interactive image segmentation
- mean shift
- object segmentation
- spatial coherence
- multi label
- graph based image segmentation
- energy minimization framework
- generalized belief propagation
- data clustering
- interactive segmentation
- minimum cut
- spectral clustering
- random walker
- auxiliary variables
- spatial smoothness
- k means
- message passing
- foreground background segmentation
- clustering method
- mrf optimization
- graph cut segmentation
- machine learning