Texture Segmentation of Urinary Sediment Image based on a Weighted Gaussian Mixture Model with Markov Random Fields.
Xiaoming JiangFuqu ChenQianqian ChenMiaomiao SiWei WangPublished in: ICBBS (2018)
Keyphrases
- gaussian mixture model
- texture segmentation
- markov random field
- textured images
- image segmentation
- texture model
- expectation maximization
- mixture model
- texture analysis
- multiresolution
- em algorithm
- feature vectors
- gabor filters
- parameter estimation
- maximum a posteriori
- random fields
- graph cuts
- energy function
- belief propagation
- maximum likelihood
- computer vision
- image restoration
- conditional random fields
- energy minimization
- higher order
- active contour model
- multiscale
- background subtraction
- feature space
- probability density function
- model selection
- region growing
- pairwise
- active contours