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 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133
|
/*=========================================================================
*
* 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 "itkMinimumMaximumImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkMacro.h"
#include "itkMath.h"
#include "itkTestingMacros.h"
int
itkMinimumMaximumImageFilterTest(int argc, char * argv[])
{
if (argc != 2)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " numberOfStreamDivisions" << std::endl;
return EXIT_FAILURE;
}
using SizeType = itk::Size<3>;
using ImageType = itk::Image<float, 3>;
using MinMaxFilterType = itk::MinimumMaximumImageFilter<ImageType>;
/* Define the image size and physical coordinates */
SizeType size = { { 20, 20, 20 } };
double origin[3] = { 0.0, 0.0, 0.0 };
double spacing[3] = { 1, 1, 1 };
int flag = 0; /* Did this test program work? */
std::cout << "Testing Minimum and Maximum Image Calulator:\n";
// Allocate a simple test image
auto image = ImageType::New();
ImageType::RegionType region;
region.SetSize(size);
image->SetRegions(region);
image->Allocate();
// Set origin and spacing of physical coordinates
image->SetOrigin(origin);
image->SetSpacing(spacing);
float minimum = -52;
float maximum = -10;
// Initialize the image contents with the minimum value
itk::Index<3> index;
for (int slice = 0; slice < 20; ++slice)
{
index[2] = slice;
for (int row = 0; row < 20; ++row)
{
index[1] = row;
for (int col = 0; col < 20; ++col)
{
index[0] = col;
image->SetPixel(index, minimum);
}
}
}
// Set voxel (10,10,10) to maximum value
index[0] = 10;
index[1] = 10;
index[2] = 10;
image->SetPixel(index, maximum);
// Create and initialize the filter
auto filter = MinMaxFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, MinimumMaximumImageFilter, ImageSink);
itk::SimpleFilterWatcher watcher(filter);
const auto numberOfStreamDivisions = static_cast<unsigned int>(std::stoi(argv[1]));
filter->SetNumberOfStreamDivisions(numberOfStreamDivisions);
ITK_TEST_SET_GET_VALUE(numberOfStreamDivisions, filter->GetNumberOfStreamDivisions());
filter->SetInput(image);
filter->Update();
// Return minimum of intensity
float minimumResult = filter->GetMinimum();
std::cout << "The Minimum intensity value is : " << minimumResult << std::endl;
if (itk::Math::NotExactlyEquals(minimumResult, minimum))
{
std::cout << "Minimum Value is wrong : " << minimumResult;
std::cout << " != " << minimum << std::endl;
flag = 1;
}
// Return maximum of intensity
float maximumResult = filter->GetMaximum();
std::cout << "The Maximum intensity value is : " << maximumResult << std::endl;
if (itk::Math::NotExactlyEquals(maximumResult, maximum))
{
std::cout << "Maximum Value is wrong : " << maximumResult;
std::cout << " != " << maximum << std::endl;
flag = 2;
}
// Return results of test
if (flag != 0)
{
std::cout << "*** Some tests failed" << std::endl;
return flag;
}
else
{
std::cout << "All tests successfully passed" << std::endl;
return EXIT_SUCCESS;
}
}
|