Hierarchical image segmentation by multi-dimensional clustering and orientation-adaptive boundary refinement.
Philippe SchroeterJosef BigünPublished in: Pattern Recognit. (1995)
Keyphrases
- multi dimensional
- image segmentation
- spectral clustering
- hierarchical clustering
- clustering algorithm
- multi dimensional data
- clustering method
- k means
- fuzzy c means clustering
- boundary information
- unsupervised clustering
- graph partitioning
- document clustering
- unsupervised learning
- fuzzy c means
- data clustering
- graph cuts
- image processing
- multiscale
- hierarchical structure
- cluster analysis
- deformable models
- object boundaries
- gabor filters
- object segmentation
- multiple dimensions
- computer vision
- level set
- cluster validation
- image segmentations
- markov random field
- normalized cut
- texture segmentation
- boundary detection
- self organizing maps
- categorical data
- data cube