Retinal blood vessel segmentation via graph cut.
Ana G. Salazar-GonzalezYongmin LiXiaohui LiuPublished in: ICARCV (2010)
Keyphrases
- blood vessels
- graph cuts
- shape prior
- segmentation algorithm
- vessel detection
- energy function
- object segmentation
- graph cut segmentation
- image segmentation
- interactive segmentation
- graph based image segmentation
- spatial coherence
- interactive image segmentation
- random walker
- low contrast
- retinal images
- energy minimization
- markov random field
- min cut
- globally optimal
- foreground background segmentation
- cross sectional
- belief propagation
- graph cut optimization
- robust segmentation
- segmentation accuracy
- chan vese
- level set
- region of interest
- retinal fundus images
- automatic segmentation
- geodesic active contours
- optic disc
- multi label
- region growing
- segmentation method
- accurate segmentation
- labeling problems
- segmentation result
- retinal vessel
- ordering constraints
- superpixels
- mean shift
- higher order
- user interaction
- regularization term
- prior shape
- object detection
- energy functional
- optical coherence tomography
- normalized cut
- optical flow