SimpleITK: Difference between revisions
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** Is 2D managed as a 3D image of 1 slice ? | ** Is 2D managed as a 3D image of 1 slice ? | ||
*** Performance penalty for neighborhood filters... ? | *** Performance penalty for neighborhood filters... ? | ||
*** Could be "2D" versions of 3D filters, i.e. RecursiveGaussianFilter2D. This would work on a slice-by-slice basis. | |||
== Languages == | == Languages == |
Revision as of 17:43, 15 July 2010
Simple ITK
Goals
- Provide an easy-access layer to ITK for non-C++ expert developers
Sandbox
Scope
Suggested Areas to Cover
- IO
- Basic Filters
- Registration
- Basic Framework
- Deformable registration
- BSplines
- Demons
- Segmentation
- Region Growing
- Level Sets
- Classifiers
Types
- Image pixel types supported
- int8_t
- int16_t
- int32_t
- float
- Image dimensions supported
- 3D
- Is 2D managed as a 3D image of 1 slice ?
- Performance penalty for neighborhood filters... ?
- Could be "2D" versions of 3D filters, i.e. RecursiveGaussianFilter2D. This would work on a slice-by-slice basis.
Languages
- C++ Layer
- Python
- Lua
- Java
- ?
Implementation Details
- Coding Style
- Copyright Headers & License
- Const correctness
- Testing
- Managing basic types
- Arrays
- Regions
- Transforms
- Not so basic types
- Interpolators
- Optimizers
- Metrics
Plan
- Image classes
- IO
TCons
Tcon topics 7/15/2010
Toll-Free #: 1-800-704-9804 International #: 1-404-920-6604 Participant Code: 61466276 Thursday, July 15th, 3:30-5:00pm EDT (2:30-4:00pm Central).
- General architecture
- Wrapping efficiency