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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149
|
/*=========================================================================
*
* 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 <fstream>
#include "itkIsolatedConnectedImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkIsolatedConnectedImageFilterTest(int argc, char * argv[])
{
if (argc < 8)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv)
<< " InputImage OutputImage FindUpper seed1_x seed1_y seed2_x seed2_y [seed1_x2 seed1_y2"
" seed2_x2 seed2_y2]"
<< std::endl;
return EXIT_FAILURE;
}
using PixelType = unsigned char;
using myImage = itk::Image<PixelType, 2>;
itk::ImageFileReader<myImage>::Pointer input = itk::ImageFileReader<myImage>::New();
input->SetFileName(argv[1]);
// Create a filter
using FilterType = itk::IsolatedConnectedImageFilter<myImage, myImage>;
auto filter = FilterType::New();
itk::SimpleFilterWatcher watcher(filter);
filter->SetInput(input->GetOutput());
FilterType::IndexType seed1;
#if !defined(ITK_LEGACY_REMOVE)
seed1[0] = std::stoi(argv[4]);
seed1[1] = std::stoi(argv[5]);
filter->SetSeed1(seed1); // deprecated method
seed1[0] = std::stoi(argv[6]);
seed1[1] = std::stoi(argv[7]);
filter->SetSeed2(seed1); // deprecated method
#endif
// Clear the seeds and then add all of the seeds
filter->ClearSeeds1();
filter->ClearSeeds2();
for (int i = 4; i < argc; i += 4)
{
seed1[0] = std::stoi(argv[i]);
seed1[1] = std::stoi(argv[i + 1]);
filter->AddSeed1(seed1);
seed1[0] = std::stoi(argv[i + 2]);
seed1[1] = std::stoi(argv[i + 3]);
filter->AddSeed2(seed1);
}
// The min and max values for a .png image
FilterType::InputImagePixelType lower = 0;
filter->SetLower(lower);
ITK_TEST_SET_GET_VALUE(lower, filter->GetLower());
#if !defined(ITK_LEGACY_REMOVE)
FilterType::InputImagePixelType upperValueLimit = 255;
filter->SetUpperValueLimit(upperValueLimit);
ITK_TEST_SET_GET_VALUE(upperValueLimit, filter->GetUpperValueLimit());
#endif
FilterType::InputImagePixelType upper = 255;
filter->SetUpper(upper);
ITK_TEST_SET_GET_VALUE(upper, filter->GetUpper());
FilterType::OutputImagePixelType replaceValue = 255;
filter->SetReplaceValue(replaceValue);
ITK_TEST_SET_GET_VALUE(replaceValue, filter->GetReplaceValue());
FilterType::InputImagePixelType isolatedValueTolerance = 1;
filter->SetIsolatedValueTolerance(isolatedValueTolerance);
ITK_TEST_SET_GET_VALUE(isolatedValueTolerance, filter->GetIsolatedValueTolerance());
auto findUpperThreshold = static_cast<bool>(std::stoi(argv[3]));
ITK_TEST_SET_GET_BOOLEAN(filter, FindUpperThreshold, findUpperThreshold);
ITK_TRY_EXPECT_NO_EXCEPTION(input->Update());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
bool thresholdingFailed = filter->GetThresholdingFailed();
if (thresholdingFailed)
{
std::cout << "Selection of isolating threshold failed" << std::endl;
}
else
{
std::cout << "Selection of isolating threshold succeeded" << std::endl;
}
// Generate test image
itk::ImageFileWriter<myImage>::Pointer writer;
writer = itk::ImageFileWriter<myImage>::New();
writer->SetInput(filter->GetOutput());
writer->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
// Now flip the mode to test whether it fails
ITK_TEST_SET_GET_BOOLEAN(filter, FindUpperThreshold, !findUpperThreshold);
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
thresholdingFailed = filter->GetThresholdingFailed();
if (thresholdingFailed)
{
std::cout << "When mode flipped: Selection of isolating threshold failed" << std::endl;
}
else
{
std::cout << "When mode flipped: Selection of isolating threshold succeeded" << std::endl;
}
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
|