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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 "itkSymmetricSecondRankTensor.h"
#include "itkSymmetricEigenAnalysisImageFilter.h"
int itkSymmetricEigenAnalysisImageFilterTest(int, char* [] )
{
// Define the dimension of the images
const unsigned int myDimension = 3;
// Define the symmetric tensor pixel type
typedef itk::SymmetricSecondRankTensor< float, myDimension > myTensorType;
// Declare the types of the images
typedef itk::Image< myTensorType, myDimension > myInputImageType;
// Define the type for storing the eigen-value
typedef itk::FixedArray< float, myDimension > myValueArray;
// Declare the types of the output images
typedef itk::Image< myValueArray, myDimension > myOutputImageType;
// 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
myInputImageType::Pointer inputImage = myInputImageType::New();
// Define their size, and start index
mySizeType size;
size[0] = 8;
size[1] = 8;
size[2] = 8;
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<
myInputImageType> myIteratorType;
// Create one iterator for the Input Image A (this is a light object)
myIteratorType it( inputImage, inputImage->GetRequestedRegion() );
myTensorType tensorValue;
tensorValue(0,0) = 19.0;
tensorValue(0,1) = 23.0;
tensorValue(0,2) = 29.0;
tensorValue(1,1) = 31.0;
tensorValue(1,2) = 37.0;
tensorValue(2,2) = 39.0;
it.GoToBegin();
// Initialize the content of Image A
while( !it.IsAtEnd() )
{
it.Set( tensorValue );
++it;
}
// Declare the type for the filter
typedef itk::SymmetricEigenAnalysisImageFilter<
myInputImageType,
myOutputImageType
> myFilterType;
// Create a Filter
myFilterType::Pointer filter = myFilterType::New();
filter->SetDimension( myTensorType::Dimension );
// Connect the input images
filter->SetInput( inputImage );
// Execute the filter
filter->Update();
filter->SetFunctor(filter->GetFunctor());
// 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
myOutputImageType::Pointer outputImage = filter->GetOutput();
// Declare Iterator type for the output image
typedef itk::ImageRegionIteratorWithIndex<
myOutputImageType> 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();
while( !itg.IsAtEnd() )
{
std::cout << itg.Get();
++itg;
}
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
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