A Modification of Diffusion Distance for Clustering and Image Segmentation.
Eduard SojkaJan GauraPublished in: ACIVS (2013)
Keyphrases
- image segmentation
- spectral clustering
- clustering algorithm
- k means
- distance metric
- unsupervised clustering
- self organizing maps
- segmentation method
- clustering method
- region growing
- dissimilarity measure
- data clustering
- fuzzy c means clustering
- cluster analysis
- affinity measure
- cluster validation
- graph cuts
- diffusion process
- deformable models
- unsupervised learning
- distance measure
- outlier detection
- anisotropic diffusion
- categorical data
- graph partitioning
- level set method
- document clustering
- boundary detection
- hierarchical clustering
- computer vision
- medical imaging
- multiscale
- active contours
- fuzzy clustering
- level set
- image processing
- image segmentations
- intra cluster
- data points
- contour detection
- image segmentation algorithm
- ground truth
- normalized cut
- segmentation algorithm
- geodesic distance
- energy function
- shape prior