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/*=========================================================================
Program: Advanced Normalization Tools
Copyright (c) ConsortiumOfANTS. All rights reserved.
See accompanying COPYING.txt or
https://github.com/stnava/ANTs/blob/master/ANTSCopyright.txt for
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#include "antsUtilities.h"
#include "antsAllocImage.h"
#include <algorithm>
#include "ReadWriteData.h"
#include "itkDiscreteGaussianImageFilter.h"
#include "itkAvantsMutualInformationRegistrationFunction.h"
#include "itkProbabilisticRegistrationFunction.h"
#include "itkCrossCorrelationRegistrationFunction.h"
namespace ants
{
template <unsigned int ImageDimension>
int
MemoryTest(unsigned int argc, char * argv[])
{
using PixelType = float;
using VectorType = itk::Vector<float, ImageDimension>;
using FieldType = itk::Image<VectorType, ImageDimension>;
using ImageType = itk::Image<PixelType, ImageDimension>;
using Iterator = itk::ImageRegionIteratorWithIndex<ImageType>;
// get command line params
unsigned int argct = 2;
unsigned int whichmetric = std::stoi(argv[argct]);
argct++;
std::string fn1 = std::string(argv[argct]);
argct++;
std::string fn2 = std::string(argv[argct]);
argct++;
unsigned int numberoffields = 11;
if (argc > argct)
{
numberoffields = std::stoi(argv[argct]);
}
argct++;
typename ImageType::Pointer image1 = nullptr;
ReadImage<ImageType>(image1, fn1.c_str());
typename ImageType::Pointer image2 = nullptr;
ReadImage<ImageType>(image2, fn2.c_str());
std::vector<typename FieldType::Pointer> fieldvec;
for (unsigned int i = 0; i < numberoffields; i++)
{
std::cout << " NFields " << i << " of " << numberoffields << std::endl;
VectorType zero;
zero.Fill(0);
// ORIENTATION ALERT: Original code set spacing/origin without
// also setting directions.
typename FieldType::Pointer field = AllocImage<FieldType>(image1, zero);
fieldvec.push_back(field);
}
typename ImageType::Pointer metricimg = AllocImage<ImageType>(image1, 0);
Iterator iter(metricimg, metricimg->GetLargestPossibleRegion());
using FixedImageType = ImageType;
using MovingImageType = ImageType;
using DisplacementFieldType = FieldType;
// Choose the similarity metric
using MIMetricType =
itk::AvantsMutualInformationRegistrationFunction<FixedImageType, MovingImageType, DisplacementFieldType>;
using CCMetricType =
itk::CrossCorrelationRegistrationFunction<FixedImageType, MovingImageType, DisplacementFieldType>;
// typedef itk::LandmarkCrossCorrelationRegistrationFunction<FixedImageType,MovingImageType,DisplacementFieldType>
// MetricType;
// typename
typename MIMetricType::Pointer mimet = MIMetricType::New();
typename CCMetricType::Pointer ccmet = CCMetricType::New();
// int nbins=32;
typename CCMetricType::RadiusType ccradius;
ccradius.Fill(4);
typename MIMetricType::RadiusType miradius;
miradius.Fill(0);
// mimet->SetDisplacementField(field);
mimet->SetFixedImage(image1);
mimet->SetMovingImage(image2);
mimet->SetRadius(miradius);
mimet->SetGradientStep(1.e2);
mimet->SetNormalizeGradient(false);
// ccmet->SetDisplacementField(field);
ccmet->SetFixedImage(image1);
ccmet->SetMovingImage(image2);
ccmet->SetRadius(ccradius);
ccmet->SetGradientStep(1.e2);
ccmet->SetNormalizeGradient(false);
if (whichmetric == 1) // imagedifference
{
ccmet->InitializeIteration();
}
else if (whichmetric != 0)
{
mimet->InitializeIteration();
}
return EXIT_SUCCESS;
}
// entry point for the library; parameter 'args' is equivalent to 'argv' in (argc,argv) of commandline parameters to
// 'main()'
int
MemoryTest(std::vector<std::string> args, std::ostream * /*out_stream = nullptr */)
{
// put the arguments coming in as 'args' into standard (argc,argv) format;
// 'args' doesn't have the command name as first, argument, so add it manually;
// 'args' may have adjacent arguments concatenated into one argument,
// which the parser should handle
args.insert(args.begin(), "MemoryTest");
int argc = args.size();
char ** argv = new char *[args.size() + 1];
for (unsigned int i = 0; i < args.size(); ++i)
{
// allocate space for the string plus a null character
argv[i] = new char[args[i].length() + 1];
std::strncpy(argv[i], args[i].c_str(), args[i].length());
// place the null character in the end
argv[i][args[i].length()] = '\0';
}
argv[argc] = nullptr;
// class to automatically cleanup argv upon destruction
class Cleanup_argv
{
public:
Cleanup_argv(char ** argv_, int argc_plus_one_)
: argv(argv_)
, argc_plus_one(argc_plus_one_)
{}
~Cleanup_argv()
{
for (unsigned int i = 0; i < argc_plus_one; ++i)
{
delete[] argv[i];
}
delete[] argv;
}
private:
char ** argv;
unsigned int argc_plus_one;
};
Cleanup_argv cleanup_argv(argv, argc + 1);
// antscout->set_stream( out_stream );
if (argc < 3)
{
std::cout << "Basic useage ex: " << std::endl;
std::cout << argv[0] << " ImageDimension whichmetric image1.ext image2.ext NumberOfFieldsToAllocate " << std::endl;
std::cout << " outimage and logfile are optional " << std::endl;
std::cout << " Metric 0 - MeanSquareDifference, 1 - Cross-Correlation, 2-Mutual Information " << std::endl;
if (argc >= 2 && (std::string(argv[1]) == std::string("--help") || std::string(argv[1]) == std::string("-h")))
{
return EXIT_SUCCESS;
}
return EXIT_FAILURE;
}
// Get the image dimension
switch (std::stoi(argv[1]))
{
case 2:
{
return MemoryTest<2>(argc, argv);
}
break;
case 3:
{
return MemoryTest<3>(argc, argv);
}
break;
default:
std::cout << "Unsupported dimension" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
} // namespace ants
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