Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation.
Chenglong WangMasahiro OdaYuichiro HayashiYasushi YoshinoTokunori YamamotoAlejandro F. FrangiKensaku MoriPublished in: MICCAI (3) (2016)
Keyphrases
- metric space
- graph cuts
- shape prior
- segmentation algorithm
- energy function
- euclidean space
- graph cut segmentation
- image segmentation
- object segmentation
- interactive segmentation
- interactive image segmentation
- spatial coherence
- graph based image segmentation
- foreground background segmentation
- similarity search
- energy minimization
- min cut
- markov random field
- distance function
- graph cut optimization
- labeling problems
- automatic segmentation
- high dimensional
- range queries
- level set
- mean shift
- segmentation method
- robust segmentation
- segmentation accuracy
- region growing
- superpixels
- vector space
- point sets
- medical images
- shape model
- object recognition
- max flow
- ordering constraints
- x ray
- data sets
- deformable models
- machine learning