Improving feature space based image segmentation via density modification.
Debashis SenSankar K. PalPublished in: Inf. Sci. (2012)
Keyphrases
- feature space
- image segmentation
- graph cuts
- mean shift
- high dimensionality
- active contours
- high dimensional
- data points
- method for image segmentation
- kernel function
- markov random field
- deformable models
- boundary detection
- principal component analysis
- feature vectors
- training set
- energy function
- shape prior
- training samples
- low density
- unsupervised image segmentation
- low dimensional
- dimensionality reduction
- probabilistic relaxation
- region merging
- texture segmentation
- nonparametric density estimation
- hyperplane
- high dimensional data
- fuzzy c means
- region growing
- linear discriminant analysis
- kernel methods
- visual words
- image representation
- level set
- edge detection
- classification accuracy
- feature extraction