Integrating unsupervised and supervised clustering methods on a GPU platform for fast image segmentation.
Alberto FaroDaniela GiordanoSimone PalazzoPublished in: IPTA (2012)
Keyphrases
- image segmentation
- semi supervised
- unsupervised learning
- supervised learning
- supervised classification
- unsupervised methods
- real time
- unsupervised feature selection
- weakly supervised
- supervised methods
- word sense induction
- discriminant projection
- supervised training
- method for image segmentation
- multiscale
- cluster validation
- texture image segmentation
- graphics hardware
- unsupervised clustering
- machine learning
- learning algorithm
- markov random field
- graph cuts
- feature selection
- segmented images
- gray level
- seamless integration
- image processing
- contour detection
- segmentation method
- normalized cut
- deformable models
- computer vision
- level set method
- expectation maximization
- shape prior
- gpu implementation
- medical imaging
- region growing
- supervised and semi supervised
- fuzzy c means
- image analysis
- probabilistic relaxation
- unsupervised image segmentation
- level set
- parallel processing
- graph partitioning