Unsupervised hierarchical image segmentation based on the TS-MRF model and fast Mean-Shift clustering.
Raffaele GaetanoGiuseppe ScarpaGiovanni PoggiJosiane ZerubiaPublished in: EUSIPCO (2008)
Keyphrases
- mean shift
- mrf model
- markov random field
- graph cuts
- image segmentation
- mode seeking
- normalized cut
- image segmentation algorithm
- unsupervised learning
- energy function
- region merging
- object tracking
- color image segmentation
- higher order
- maximum a posteriori
- parameter estimation
- clustering algorithm
- graph partitioning
- random fields
- segmentation algorithm
- feature space
- pairwise
- conditional random fields
- visual tracking
- spectral clustering
- density function
- supervised learning
- bayesian framework
- region growing
- visual object tracking
- semi supervised
- particle filtering
- data clustering
- expectation maximization
- object segmentation
- shape prior
- particle filter
- kernel density estimation
- clustering method
- fuzzy c means
- k means
- active contours
- soft clustering
- multiscale