MRF Model Based Unsupervised Color Textured Image Segmentation Using Multidimensional Spatially Variant Finite Mixture Model.
Mofakharul IslamPeter VamplewJohn YearwoodPublished in: EIAT/IETA (2008)
Keyphrases
- finite mixture model
- spatially variant
- image segmentation
- expectation maximization
- markov random field
- textured images
- multiscale
- em algorithm
- graph cuts
- maximum likelihood estimation
- density estimation
- mixture model
- mathematical morphology
- color images
- parameter estimation
- unsupervised image segmentation
- morphological filters
- image analysis
- gray level images
- morphological operators
- random fields
- structuring elements
- energy function
- image processing
- trend analysis
- model based segmentation
- energy minimization
- gray level
- maximum a posteriori
- object segmentation
- unsupervised learning
- spatially varying
- b spline
- gaussian mixture model
- higher order
- translation invariant
- natural images
- active contours
- image restoration
- maximum likelihood
- generative model
- probability density function
- segmentation method
- segmentation algorithm
- pairwise
- machine learning
- map estimation
- bayesian framework
- signal and image processing
- noisy images
- probability distribution
- clustering algorithm