BM-GMM: belief function-based Gaussian Markov model for image segmentation.
Tong HouHongqing ZhuSuyi YangPublished in: Signal Image Video Process. (2023)
Keyphrases
- belief functions
- model for image segmentation
- gaussian mixture model
- multiscale
- random fields
- image segmentation
- active contours
- dempster shafer
- mumford shah
- mixture model
- probability function
- gaussian distribution
- feature vectors
- maximum likelihood
- expectation maximization
- handling uncertainty
- level set
- potential functions
- fuzzy numbers
- em algorithm
- curve evolution
- density estimation
- markov random field
- variational framework
- computer vision
- imprecise probabilities
- non stationary
- parameter estimation
- generative model
- scale space
- probabilistic model
- prior knowledge
- feature space
- pattern recognition