A k-max Geodesic Distance and Its Application in Image Segmentation.
Michael HolusaEduard SojkaPublished in: CAIP (1) (2015)
Keyphrases
- geodesic distance
- image segmentation
- euclidean space
- shortest path
- euclidean distance
- geometric structure
- multiscale
- distance transform
- manifold learning
- markov random field
- fisher information
- graph cuts
- active contours
- gaussian mixture
- image analysis
- level set
- segmentation algorithm
- distance metric
- pattern recognition
- image processing
- computer vision
- expectation maximization
- shape prior
- deformable models
- dimensionality reduction