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.

Details

  • 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

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_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.