Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation
Fionn MurtaghPedro ContrerasJean-Luc StarckPublished in: CoRR (2009)
Keyphrases
- mixture model
- gaussian mixture model
- image segmentation
- expectation maximization
- maximum likelihood
- em algorithm
- gaussian mixture
- density estimation
- gaussian model
- generative model
- probabilistic model
- mixture modeling
- model selection
- probability density function
- mixture of gaussians
- unsupervised learning
- language model
- gaussian distribution
- graph cuts
- image processing
- density function
- machine learning
- covariance matrices
- unsupervised segmentation
- active learning
- pattern recognition
- probability density
- multiscale
- computer vision
- finite mixtures
- automatic model selection
- scale space
- k means
- contour detection
- data sets