itkGradientDifferenceImageToImageMetric¶
-
MLModule
¶ author Insight Software Consortium
package MeVisLab/ITK
dll MLMetrics
definition MLMetrics.def
Purpose¶
This module wraps the class itk::GradientDifferenceImageToImageMetric to make it usable in MeVisLab.
Details¶
- Integration type = Wrapped ITK class
- Module category = Metrics
- Included (toolkit) file(s): itkGradientDifferenceImageToImageMetric.h
- Compiled for 2D, 3D and 6D images
- The module uses a non scalar voxel type at inputs (e.g. complex, vector, matrix, tensor) It will automatically try to convert input image data to that type
- The module has a non scalar voxel type at the output(s) (e.g. complex, vector, matrix, tensor)
- Wraps a class of type itk Metric (for registration)
- Uses mapping of full (input, feature, mask, marker, metric) image(s) in memory
- Additional user interface field(s):
- status
- clearOutput
- setOutput
- updateFixedImageRegion
Tips¶
See Integration of ITK Algorithms in MeVisLab
for further information about the ITK-MeVisLab binding.
Parameter Fields¶
Select label links in the module panel to go to the documentation of the class and base classes parameters.
Go to http://www.itk.org/Doxygen/html/classitk_1_1GradientDifferenceImageToImageMetric.html for the documentation of the class itk::GradientDifferenceImageToImageMetric and its parameters.
See Common User Interface Parameters of itk Modules
for information about parameters which do not belong to the itk::GradientDifferenceImageToImageMetric.