/**
* The level-set evolution.
*
* @param fAdvectionWeight The advection coefficient 'a' in the PDE that controls the evolution.
* @param fPropagationWeight The propagation coefficient 'b' in the PDE that controls the
* evolution.
* @param fCurvatureWeight The curvature coefficient 'c' in the PDE that controls the evolution.
* @param fLaplacianWeight The Laplacian coefficient 'd' in the PDE that controls the evolution.
* @param fTimeStep The time step for the PDE solver.
*/
public void beginEvolution(
float fAdvectionWeight,
float fPropagationWeight,
float fCurvatureWeight,
float fLaplacianWeight,
float fTimeStep) {
super.beginEvolution(
fAdvectionWeight, fPropagationWeight, fCurvatureWeight, fLaplacianWeight, fTimeStep);
m_kLevelSetEvolver =
new LseThreshold3(
m_iXBound,
m_iYBound,
m_iZBound,
m_fXSpacing,
m_fYSpacing,
m_fZSpacing,
m_afSignedDistance,
m_abSignedDistanceMask,
m_fBorderValue,
LsePdeFilter.PRESERVE_ZERO,
m_afFeature,
m_fLower,
m_fUpper,
fPropagationWeight,
fCurvatureWeight);
m_kLevelSetEvolver.setTimeStep(fTimeStep);
}
/**
* The region-growing fast march. When you call beginCoarse(), the current parameters are used
* (DIterations, scale, alpha, beta, min, max). You can apply the fast marching algorithm multiple
* times to the same image, each time starting with beginCoarse();
*
* @param aiSeeds The initial region to grow.
*/
public void beginCoarse(int[] aiSeeds) {
super.beginCoarse(aiSeeds);
createFeatureImage();
m_kFastMarcher = new LseFastMarch3(m_iXBound, m_iYBound, m_iZBound, m_afFeature, aiSeeds);
}