Nonparametric joint shape and feature priors for segmentation of dendritic spines.
Ertunc ErdilLavdie RadaAli Ozgur ArgunsahInbal IsraelyDevrim ÜnayTolga TasdizenMüjdat ÇetinPublished in: ISBI (2016)
Keyphrases
- shape prior
- parametric models
- dendritic spines
- prior information
- statistical shape
- geometrical features
- level set
- segmentation algorithm
- shape representation
- region based segmentation
- shape decomposition
- shape model
- image segmentation
- object shape
- robust segmentation
- medical images
- statistical shape model
- object segmentation
- multiple scales
- geometric features
- global shape
- bayesian approaches
- shape features
- skeleton extraction
- shape variations
- multiscale
- shape descriptors
- segmentation method
- perceptual grouping
- energy functional
- shape constraints
- deformable models
- labeling problems
- confocal microscopy images
- feature vectors
- graph cuts
- geometric shapes
- bayesian framework
- prior model
- shape analysis
- invariant features
- image gradient
- probability density function
- intensity variations
- active contours
- edge detection
- appearance cues
- image features
- point distribution
- intensity histogram
- gaussian density