An expectation-maximization approach assisted by dempster-shafer theory and its application to sonar image segmentation.
Tai FeiDieter KrausPublished in: ICASSP (2012)
Keyphrases
- dempster shafer theory
- expectation maximization
- image segmentation
- em algorithm
- combination rule
- belief functions
- mixture model
- mobile robot
- fusion algorithm
- generative model
- graph cuts
- dempster shafer
- multiscale
- maximum likelihood
- sonar images
- level set
- probabilistic model
- k means
- active contours
- segmentation method
- data fusion
- markov random field
- high resolution
- image analysis
- image processing
- neural network
- cooperative
- bayesian networks
- computer vision
- machine learning