k-MS: A novel clustering algorithm based on morphological reconstruction.
Érick Oliveira RodriguesLeonardo TorokPanos LiatsisJosé ViterboAura ConciPublished in: Pattern Recognit. (2017)
Keyphrases
- clustering algorithm
- openings and closings
- compressed sensing
- image processing
- high resolution
- discrete tomography
- shape recovery
- image reconstruction
- mathematical morphology
- data clustering
- clustering analysis
- reconstruction process
- discrete sets
- k means
- fuzzy clustering
- morphological operators
- reconstruction method
- image registration
- document clustering
- clustering method
- compressive sensing
- multiscale