1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70
|
/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 "itkRandomImageSource.h"
#include "itkMedianImageFilter.h"
#include "itkTextOutput.h"
#include "itkSimpleFilterWatcher.h"
int
itkMedianImageFilterTest(int, char *[])
{
// Comment the following if you want to use the itk text output window
itk::OutputWindow::SetInstance(itk::TextOutput::New());
using FloatImage2DType = itk::Image<float, 2>;
itk::RandomImageSource<FloatImage2DType>::Pointer random;
random = itk::RandomImageSource<FloatImage2DType>::New();
random->SetMin(0.0);
random->SetMax(1000.0);
FloatImage2DType::SizeValueType randomSize[2];
randomSize[0] = randomSize[1] = 25;
random->SetSize(randomSize);
FloatImage2DType::SpacingValueType spacing[2] = { 0.7, 2.1 };
random->SetSpacing(spacing);
FloatImage2DType::PointValueType origin[2] = { 15, 400 };
random->SetOrigin(origin);
// Create a median image
itk::MedianImageFilter<FloatImage2DType, FloatImage2DType>::Pointer median;
median = itk::MedianImageFilter<FloatImage2DType, FloatImage2DType>::New();
median->SetInput(random->GetOutput());
// define the neighborhood size used for the median filter (5x5)
FloatImage2DType::SizeType neighRadius;
neighRadius[0] = 5;
neighRadius[1] = 5;
median->SetRadius(neighRadius);
itk::SimpleFilterWatcher watcher(median, "To watch progress updates");
// run the algorithm
median->Update();
// Test the itkGetConstReferenceMacro
const FloatImage2DType::SizeType & radius = median->GetRadius();
std::cout << "median->GetRadius():" << radius << std::endl;
return EXIT_SUCCESS;
}
|