* The only transform type used is Identity */

Prior Constrained PCA

* Get the prior label parameters. */

itkSetMacro( priorScale, RealType ); itkGetMacro( priorScale, RealType );

Get the container of Processed Points. If the CollectPoints flag * is set, the algorithm collects a container of all processed nodes. * This is

Get the rms change in deformation field. */

Get the rms change in deformation field. */

* Get randomizer. */

Get the floating point 'resampled' image, if resampling was enabled */

The sigma of the laplacian where the extrema occoured */

eVector vVtoE( VectorType v ) { eVector v_out( v.size() ); for (unsigned int i=0; i < v.size() ; i++) v_out(i)=v(i); return v_out; } MatrixType mEtoV(

* Get the label image. */

Get the container of Trial Points representing the initial front. */

* Get the warped white matter probability map. */

* Get the warping field. */

* Get the grey matter probability image. */

typename TInputImage::Pointer

entry point for the library; parameter 'args' is equivalent to 'argv' in (argc,argv) of commandline parameters to 'main()'

entry point for the library; parameter 'args' is equivalent to 'argv' in (argc,argv) of commandline parameters to 'main()'

Backtracks from the given node to its source node performing integration

Backtracks from the given node to its source node performing integration

We estimate the integral as a sum, assuming the local area (from compute local area) scales the value of the function at the pixel. See h