itkGradientDescentOptimizer¶

MLModule¶

author	`Insight Software Consortium`
package	`MeVisLab/ITK`
dll	`MLOptimizers`
definition	MLOptimizers.def

Purpose¶

This module wraps the class itk::GradientDescentOptimizer to make it usable in MeVisLab.

Integration type = Wrapped ITK class
Module category = Optimizers
Included (toolkit) file(s): itkGradientDescentOptimizer.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 itkOptimizer (for registration)
Suppressed parameter(s):
- Minimize
Additional user interface field(s):
- status
- startOptimization
- optimizationFinished

See Integration of ITK Algorithms in MeVisLab for further information about the ITK-MeVisLab binding.

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_1GradientDescentOptimizer.html for the documentation of the class itk::GradientDescentOptimizer and its parameters.

See Common User Interface Parameters of itk Modules for information about parameters which do not belong to the itk::GradientDescentOptimizer.