Morphological Clustering of the SOM for Multi-dimensional Image Segmentation.
Aureli Soria-FrischMario KöppenPublished in: IWANN (1) (2003)
Keyphrases
- multi dimensional
- self organizing maps
- image segmentation
- k means
- spectral clustering
- kohonen self organizing maps
- multiscale
- kohonen self organizing map
- cluster analysis
- unsupervised learning
- image processing
- multi dimensional data
- unsupervised clustering
- clustering method
- som neural network
- graph partitioning
- normalized cut
- graph cuts
- neural gas
- region growing
- computer vision
- clustering algorithm
- neural network
- fuzzy c means clustering
- competitive learning
- high dimensional
- method for image segmentation
- cluster validation
- contour detection
- fuzzy c means
- sequential patterns
- mathematical morphology
- fuzzy clustering
- data clustering
- hierarchical clustering
- categorical data
- segmentation algorithm
- deformable models
- dimensionality reduction
- image segmentation algorithm
- level set
- image analysis
- expectation maximization
- feature vectors
- criterion function
- gray level
- watershed transformation
- document clustering
- segmentation method