SimpleITK/Goals
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Target Coverage
To be Exposed
SimpleITK will expose the following ITK functionalities
Image Processing
Intensity Filters
- Trigonometric functions
- Binary operators
- Arithmetic
- Boolean
- Complex conversions
- Thresholding
Morphology
Label Maps
- Label Map Filters (LabelMap Module)
- Label Map Overlays (ImageFusion Module)
Features
Image Statistics
Smoothing
Anisotropic Smoothing
- Curvature Flow
- Gradient Anisotropic Smoothing
LabelVoting
- HoleFilling
- IterativeHoleFilling
AntiAlias
FFT
Gradients
Convolution
Image Compare
Image Compose
Image Grid
- Resampling
- Flip
- Pad
Distance Maps
Bias Correction
Deformation Fields
- Only if they work on the itk::VectorImage class
Image Segmentation
Level Sets
- Current Framework
- New Framework
Region Growing
Statistical Classifiers
- KMeans
- BayesianClassifiers
KLM Region Growing
MRF Filters
Voronoi Filters
Watersheds
- With Markers
- Traditional
IO
Single Image Files
Series Image Readers
DICOM
Image Registration
Building Blocks
- Optimizers
- Metrics
- Interpolators
- Transforms
- Demons
PrePackaged Recipes
- Brain CT to CT
- Brain MR to CT
- etc
Bridges
VTK
Native Language Arrays
- Python
- Java
- R
Not to be Exposed (by Design)
- Mesh
- SpatialObjects
- Numerics
- Statistics
- ImageFunctions
- ImageAdaptors
- Path
- SpatialFunctions
Infrastructure and Deployment
Repository
- Git Hosted at Kitware
- Mirrored at Github
Gerrit
- Setup already
Dashboard
- Group
Home Page
Download
Doxygen
Mailing List
Bug Tracker Jira
- Joint with ITK Jira installation but as a separate project
Wiki
- Joint with ITK
