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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include "itkGradientRecursiveGaussianImageFilter.h"
int itkGradientRecursiveGaussianFilterSpeedTest(int argc, char* argv[] )
{
if( argc != 3 )
{
std::cerr << "usage: size reps" << std::endl;
return EXIT_FAILURE;
}
int imageSize = atoi( argv[1] );
int reps = atoi( argv[2] );
std::cout << "imageSize: " << imageSize << " reps: " << reps << std::endl;
// Define the dimension of the images
const unsigned int myDimension = 3;
// Declare the types of the images
typedef itk::Image<float, myDimension> myImageType;
// Declare the type of the index to access images
typedef itk::Index<myDimension> myIndexType;
// Declare the type of the size
typedef itk::Size<myDimension> mySizeType;
// Declare the type of the Region
typedef itk::ImageRegion<myDimension> myRegionType;
// Create the image
myImageType::Pointer inputImage = myImageType::New();
// Define their size, and start index
mySizeType size;
size[0] = imageSize;
size[1] = imageSize;
size[2] = imageSize;
myIndexType start;
start.Fill(0);
myRegionType region;
region.SetIndex( start );
region.SetSize( size );
// Initialize Image A
inputImage->SetLargestPossibleRegion( region );
inputImage->SetBufferedRegion( region );
inputImage->SetRequestedRegion( region );
inputImage->Allocate();
// Declare Iterator type for the input image
typedef itk::ImageRegionIteratorWithIndex<myImageType> myIteratorType;
// Create one iterator for the Input Image A (this is a light object)
myIteratorType it( inputImage, inputImage->GetRequestedRegion() );
// Initialize the content of Image A
while( !it.IsAtEnd() )
{
it.Set( 0.0 );
++it;
}
size.Fill( imageSize - 4 );
start[0] = 2;
start[1] = 2;
start[2] = 2;
// Create one iterator for an internal region
myRegionType innerRegion;
innerRegion.SetSize( size );
innerRegion.SetIndex( start );
myIteratorType itb( inputImage, innerRegion );
// Initialize the content the internal region
while( !itb.IsAtEnd() )
{
itb.Set( 100.0 );
++itb;
}
// Declare the type for the
typedef itk::GradientRecursiveGaussianImageFilter< myImageType > myFilterType;
typedef myFilterType::OutputImageType myGradientImageType;
// Create a Filter
myFilterType::Pointer filter = myFilterType::New();
// Connect the input images
filter->SetInput( inputImage );
// loop
for( int i=0; i < reps; i++ )
{
// Select the value of Sigma
filter->SetSigma( 2.5 + reps/100.0 );
// Execute the filter
filter->Update();
}
if( reps > 0 )
{
// Get the Smart Pointer to the Filter Output
// It is important to do it AFTER the filter is Updated
// Because the object connected to the output may be changed
// by another during GenerateData() call
myGradientImageType::Pointer outputImage = filter->GetOutput();
// Declare Iterator type for the output image
typedef itk::ImageRegionIteratorWithIndex<myGradientImageType> myOutputIteratorType;
// Create an iterator for going through the output image
myOutputIteratorType itg( outputImage, outputImage->GetRequestedRegion() );
// Print the content of the result image
std::cout << " Result " << std::endl;
itg.GoToBegin();
std::cout << itg.Get();
std::cout << std::endl;
}
return EXIT_SUCCESS;
}
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