Non-local spatially varying finite mixture models for image segmentation.
Javier Juan-AlbarracínElies Fuster-GarcíaAlfons JuanJuan M. García-GómezPublished in: Stat. Comput. (2021)
Keyphrases
- spatially varying
- image segmentation
- finite mixture models
- mixture modeling
- expectation maximization
- unsupervised learning
- em algorithm
- mixture model
- photometric stereo
- model based clustering
- high dimensional
- markov random field
- noisy images
- missing data
- motion blur
- region growing
- multiscale
- graph cuts
- density estimation
- segmentation algorithm
- image processing
- generative model
- computer vision
- gaussian mixture model
- feature space
- maximum likelihood
- multi view
- object recognition
- probability distribution
- probabilistic model
- high resolution