Texture segmentation using independent-scale component-wise Riemannian-covariance Gaussian mixture model in KL measure based multi-scale nonlinear structure tensor space.
Shoudong HanWenbing TaoXianglin WuPublished in: Pattern Recognit. (2011)
Keyphrases
- gaussian mixture model
- texture segmentation
- multiscale
- covariance matrices
- mixture model
- texture analysis
- gabor filters
- feature vectors
- multiresolution
- pairwise
- scale space
- image segmentation
- similarity measure
- em algorithm
- gaussian mixture
- maximum likelihood
- probability density function
- gaussian distribution
- natural images
- image processing
- image analysis
- local binary pattern
- density estimation
- feature space
- tensor space
- expectation maximization
- edge detection
- probabilistic model
- clustering algorithm