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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 "itkMedianImageFunction.h"
int itkMedianImageFunctionTest(int, char* [] )
{
const unsigned int Dimension = 3;
typedef unsigned char PixelType;
typedef itk::Image< PixelType, Dimension > ImageType;
typedef itk::MedianImageFunction< ImageType > FunctionType;
// Create and allocate the image
ImageType::Pointer image = ImageType::New();
ImageType::SizeType size;
ImageType::IndexType start;
ImageType::RegionType region;
const int sizeDim(50);
const int centerIndex(sizeDim/2);
size[0] = 50;
size[1] = 50;
size[2] = 50;
start.Fill( 0 );
region.SetIndex( start );
region.SetSize( size );
image->SetRegions( region );
image->Allocate();
ImageType::PixelType initialValue = 27;
image->FillBuffer( initialValue );
FunctionType::Pointer function = FunctionType::New();
function->SetInputImage( image );
ImageType::IndexType index;
index[0] = centerIndex;
index[1] = centerIndex;
index[2] = centerIndex;
FunctionType::OutputType median;
median = function->EvaluateAtIndex( index );
std::cout << "function->EvaluateAtIndex( index ): "
<< static_cast<itk::NumericTraits<FunctionType::OutputType>::PrintType>(median)
<< std::endl;
// Test Evaluate
FunctionType::PointType point;
point[0] = centerIndex;
point[1] = centerIndex;
point[2] = centerIndex;
FunctionType::OutputType median2;
median2 = function->Evaluate(point);
std::cout << "function->Evaluate(point): "
<< static_cast<itk::NumericTraits<FunctionType::OutputType>::PrintType>(median2)
<< std::endl;
// Test EvaluateAtContinuousIndex
FunctionType::ContinuousIndexType cindex;
cindex[0] = centerIndex;
cindex[1] = centerIndex;
cindex[2] = centerIndex;
FunctionType::OutputType median3;
median3 = function->EvaluateAtContinuousIndex(cindex);
std::cout << "function->EvaluateAtContinuousIndex(cindex): "
<< static_cast<itk::NumericTraits<FunctionType::OutputType>::PrintType>(median3)
<< std::endl;
// since the input image is constant
// the should be equal to the initial value
if( itk::Math::abs( initialValue - median ) > 10e-7 )
{
std::cerr << "Error in mean computation" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test PASSED ! " << std::endl;
//
std::cout << "Test setting the neighborhood radius" << std::endl;
// first, put something in the neighborhood outside the current
// neighborhood that will change the median result
unsigned char voxelval(28);
ImageType::IndexType index2;
for(index2[0] = centerIndex-2; index2[0] < centerIndex+3; index2[0]++)
{
for(index2[1] = centerIndex-2; index2[1] < centerIndex+3; index2[1]++)
{
for(index2[2] = centerIndex-2; index2[2] < centerIndex+3; index2[2]++)
{
// don't change voxels inside default neighborhood
if((index2[0] < centerIndex - 1 || index2[0] > centerIndex + 1) ||
(index2[1] < centerIndex - 1 || index2[1] > centerIndex + 1) ||
(index2[2] < centerIndex - 1 || index2[2] > centerIndex + 1))
{
image->SetPixel(index2,voxelval);
voxelval++;
}
}
}
}
// check median with default neighborhood
index[2] = index[1] = index[0] = centerIndex;
median = function->EvaluateAtIndex( index );
std::cout << "function->EvaluateAtIndex( index ): "
<< static_cast<itk::NumericTraits<FunctionType::OutputType>::PrintType>(median)
<< std::endl;
// since the input image is constant
// the should be equal to the initial value
if( itk::Math::abs( initialValue - median ) > 10e-7 )
{
std::cerr << "Error in mean computation" << std::endl;
return EXIT_FAILURE;
}
// now set the radius
function->SetNeighborhoodRadius(2);
median = function->EvaluateAtIndex( index );
std::cout << "function->EvaluateAtIndex( index ), neighborhood radius 2: "
<< static_cast<itk::NumericTraits<FunctionType::OutputType>::PrintType>(median)
<< std::endl;
// Since we've changed the image outside the default neighborhood
// for the MedianImageFunction, it would be an error for the median
// to be the same
if( itk::Math::abs( initialValue - median ) < 10e-7 )
{
std::cerr << "Error in mean computation" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test PASSED ! " << std::endl;
return EXIT_SUCCESS;
}
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