Unsupervised hierarchical image segmentation based on Bayesian sequential partitioning.
Hao-Wei YehChen-Yu TsengTung-Yu WuSheng-Jyh WangPublished in: ICIP (2015)
Keyphrases
- image segmentation
- normalized cut
- graph partitioning
- data driven
- markov random field prior
- unsupervised learning
- nonparametric bayesian
- supervised classification
- markov random field
- graph cuts
- unsupervised clustering
- boundary detection
- method for image segmentation
- hierarchical structure
- hierarchical tree
- gray level
- bayesian inference
- bayesian networks
- deformable models
- segmentation algorithm
- hierarchical model
- partitioning algorithm
- image analysis
- cluster validation
- texture image segmentation
- spectral clustering
- coarse to fine
- feature selection
- image processing
- level set
- computer vision
- posterior distribution
- multiscale
- ground truth
- bayesian models
- maximum likelihood
- image segmentation algorithm
- region merging
- active contours
- medical imaging
- machine learning
- bayesian learning
- texture segmentation