#==============================================================================
#
# Project:   SharpImage
# Module:    GradientMagnitudeRecursiveGaussian.py
# Language:  IronPython
# Author:    Dan Mueller
# Date:      $Date: 2007-07-06 10:57:00 +1000 (Fri, 06 Jul 2007) $
# Revision:  $Revision: 2 $
#
# Copyright (c) Queensland University of Technology (QUT) 2007.
# All rights reserved.
#
# This software is distributed WITHOUT ANY WARRANTY; without even
# the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
# PURPOSE.  See the above copyright notices for more information.
#
#==============================================================================

# Import the base script class
import ImageToImageScript
from ImageToImageScript import *

# Add reference and import Common library
clr.AddReference("ManagedITK.GradientFilters")
from itk import *

class GradientMagnitudeRecursiveGaussianScript(ImageToImageScriptObject):
    # -------------------------------------------------------------------------
    Name = "GradientMagnitudeRecursiveGaussian"
    Help = """Computes the magnitude of the gradient of an image by convolution
              with the first derivative of a Gaussian."""
    Parameters = """(double) Sigma = the variance of the Gaussian. (1.0)
                    (bool) NormalizeAcrossScale = indicates if the scale is used. (False)"""
    Sigma = 1.0
    NormalizeAcrossScale = False
    # -------------------------------------------------------------------------

    def ThreadedDoWork(self):
        """ Perform the main functions of the script. """
        """ NOTE: This function is invoked on a background thread. """
        try:
            self.StartedWork()
            self.WriteInputName()
            filterGrad = itkGradientMagnitudeRecursiveGaussianImageFilter.New( self.Input, self.Output )
            self.AddEventHandlersToProcessObject( filterGrad )
            filterGrad.SetInput( self.Input )
            filterGrad.Sigma = self.Sigma
            filterGrad.NormalizeAcrossScale = self.NormalizeAcrossScale
            self.WriteLineToConsole( "Sigma=" + self.Sigma.ToString() )
            self.WriteLineToConsole( "NormalizeAcrossScale=" + self.NormalizeAcrossScale.ToString() )
            filterGrad.UpdateLargestPossibleRegion()
            filterGrad.GetOutput( self.Output )
            self.DisconnectInputAndOutput()
            self.DisposeOfObject( filterGrad )
            self.WriteOutputName()
            self.FinishedWork( True )
        except Exception, ex:
            self.HandleException( ex )
            self.FinishedWork( False )
            self.Finalise( )