Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation.
José Ignacio OrlandoMarcos FracchiaValeria del RíoMariana del FresnoPublished in: SIPAIM (2017)
Keyphrases
- blood vessels
- parameter estimation
- vessel segmentation
- vessel detection
- retinal images
- high resolution
- fundus images
- low contrast
- optic disc
- maximum likelihood
- least squares
- cross sectional
- model selection
- markov random field
- statistical models
- em algorithm
- retinal fundus images
- low resolution
- parameter estimation algorithm
- retinal vessel
- optical coherence tomography
- random fields
- expectation maximization
- model fitting
- feature vectors
- region of interest
- image segmentation
- image processing
- markov fields
- level set
- segmentation algorithm
- higher order
- diabetic retinopathy
- segmentation method
- texture segmentation
- estimation problems
- region growing
- mrf model
- energy function
- parameter estimates
- super resolution
- textured images
- image analysis
- oct images
- pairwise
- remote sensing
- computer vision