ITK/Release 4/Modularization/Prototype/Partition: Difference between revisions
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* Diffusion Tensor | * Diffusion Tensor | ||
* BSpline | * BSpline | ||
* Edge Detection | |||
* Image Statistics | |||
= Segmentation = | = Segmentation = |
Revision as of 02:46, 7 November 2010
The following is the suggested list of modules in which monolithic ITK will be partitioned. Those modules are categorized into Core, IO, Filtering Segmentation, Registration and Others, according to their functionalities. The current list is only for prototyping discussion purposes and does not cover all the classes in ITK.
Core
- common (Object, Exception,ProcessObject ...)
- io-common (IO wrapper)
- itksys (system tools)
- itkvnl (essential numerics)
Numerics
- Optimizers
- Statistics
- Neural Networks
- FEM
IO
One module per file format. This is because every file format brings in a dependency on a full third party library
- PNG
- JPEG
- Nrrd
- BMP
- IPL
- GDCM
- BioRad
- LSM
- TIFF
- VTK
- GE
- Analyze
- BMP
- Gipl
- Nifti
- DICOM
- Meta
- Siemens
- XML
- Transform
Filtering
- Anisotropic Diffusion
- Isotropic (Mean, Median, Gaussian)
- Thresholding (BinaryThreshold, OtsuThreshold)
- Mathematical Morphology
- Hole Filling
- Anti-alias
- Gradient
- Thinning
- Pruning
- Ballon Force
- Curvature Flow
- Gradient vector flow
- STAPLE
- QuadEdgeMesh
- Diffusion Tensor
- BSpline
- Edge Detection
- Image Statistics
Segmentation
- Region Growing
- Level Sets
- Deformable Mesh
- Watersheds
- Voronoi
- Kmeans
- Classifier
- MRF
- GibbsPiror
- ConnectedComponent
- Thresholding
- Lable Voting
- Fast marching
- PCAShapeModel
- Triangle Mesh
Registration
- registration-common (common classes for all image registration methods, eg. Deformation Fields, Image matching metrics)
- Deformable Registration
- Demons
- FEM Registration
- Curvature Registration
- Image to Spatial Object registration
- Point set to point set registration
Others
(Utility modules)
- NrrdIO
- zlib
- openjpeg
- KWSyle
- Doxygen
- DICOMParser