Choosing the parameter of the Fermat distance: navigating geometry and noise.
Frédéric ChazalLaure FerrarisPablo GroismanMatthieu JonckheereFrédéric PascalFacundo SapienzaPublished in: CoRR (2023)
Keyphrases
- missing data
- noise level
- signal to noise ratio
- random noise
- gaussian noise
- three dimensional
- minimum distance
- image noise
- additive noise
- parameter space
- noisy data
- distance function
- noise reduction
- parameter values
- distance transform
- median filter
- relative position
- input parameters
- shortest path
- noise model
- input data
- noise free
- distance measure
- image segmentation