Proposals:Registration Framework in MATITK: Difference between revisions
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= Point Set Registration = | = Point Set Registration = | ||
* ICP examples (the patent has expired now) | |||
** This is a combination of Levenberg-Marquard optimizer, any transform, two point sets, and a PointSetToPointSet metric. | |||
{{ITK/Template/Footer}} | {{ITK/Template/Footer}} | ||
Revision as of 15:36, 8 October 2006
Registration Framework to add to MATITK
This document is intended to collect the commonly used combinations of registration components so that they can be selected to be wrapped for MATLAB using MATITK.
Image Registration
The most common registration problems are:
Linear Transformation
3D to 3D images
- Rigid Transform
- Similarity Transform
- Affine Transform
2D to 2D images
- Rigid Transform
- Similarity Transform
- Affine Transform
Non-Linear Transformation (Deformable Registration)
2D to 2D Images
- BSpline deformable Transform
- Demons Registration
- Non-Symmetric Forces (default one)
- Summetric Forces
- FEM Deformable registration filter
- LevelSet deformable registration filter
3D to 3D Images
- BSpline deformable Transform
- Demons Registration
- Non-Symmetric Forces (default one)
- Summetric Forces
- FEM Deformable registration filter
- LevelSet deformable registration filter
Point Set Registration
- ICP examples (the patent has expired now)
- This is a combination of Levenberg-Marquard optimizer, any transform, two point sets, and a PointSetToPointSet metric.
