Package gov.nih.mipav.model.algorithms.registration

Class RegistrationMeasureLeastSquares

java.lang.Object
gov.nih.mipav.model.algorithms.registration.RegistrationMeasure
gov.nih.mipav.model.algorithms.registration.RegistrationMeasureLeastSquares
public class RegistrationMeasureLeastSquares extends RegistrationMeasure
Concrete implementation of the RegistrationMeasure class based on sum of the squared differences between the target image and the registered source image. The error value is normalized by computing the root mean squared error. The differences between corresponding target image and registered source image are maintained in a separate image and a cummulative sum of squared differences is maintained.

  • Field Details

    • m_afImageErr

      protected float[] m_afImageErr
      Current error at each sample (registered-target). Has the same number of samples as the target and registered images.

    • m_dSumSquaredError

      protected double m_dSumSquaredError
      Current sum of squared error measure.

  • Constructor Details

    • RegistrationMeasureLeastSquares

      public RegistrationMeasureLeastSquares()
      Constructor.

  • Method Details

    • getStaticName

      public static String getStaticName()
      Return the name of the particular registration measure without having an instance.
      Returns:
      String Contains the name of the particular registration measure.

    • createNew

      public RegistrationMeasure createNew()
      Create a new instance of this measure. That is, the same type and having the same properties. But initially, the target is not defined.
      Specified by:
      createNew in class RegistrationMeasure
      Returns:
      RegistrationMeasure Newly created instance.

    • getError

      public double getError()
      Return the current error measure between the target image and the registered source image.
      Specified by:
      getError in class RegistrationMeasure
      Returns:
      double Error measure value. Minimum value is zero. Maximum value depends on the range of values in the target and registered source images.

    • getName

      public String getName()
      Return the name of the particular registration measure.
      Specified by:
      getName in class RegistrationMeasure
      Returns:
      String Contains the name of the particular registration measure.

    • setImages

      public void setImages(ModelSimpleImage kImageSrc, ModelSimpleImage kImageTrg)
      Setup the measure to use information from the target image and the original source image. Each derived class override of this method must call this method.
      Overrides:
      setImages in class RegistrationMeasure
      Parameters:
      kImageSrc - ModelSimpleImage Contains information and data about the original source image. This array may be empty but not null.
      kImageTrg - ModelSimpleImage Contains information and data about yhe target image. This array may be empty but not null.

    • updateRegistration

      public void updateRegistration(int iIndex, float fNewValue)
      Update the specified value in the registered source image. Causes a change in the computed error measure.
      Specified by:
      updateRegistration in class RegistrationMeasure
      Parameters:
      iIndex - int Linear array index for the value to be updated.
      fNewValue - float New registered source image value to store at the specified index.