int main(int argc, char *argv[])
{
// Verify arguments
if(argc < 6)
{
std::cerr << "Required: outputFilename sizeX sizeY components value" << std::endl;
return EXIT_FAILURE;
}
// Parse arguments
std::string outputFilename = argv[1];
std::stringstream ss;
ss << argv[2] << " " << argv[3] << " " << argv[4];
itk::Size<2> size = {{0,0}};
unsigned int components = 0;
float value = 0.0f;
ss >> size[0] >> size[1] >> components >> value;
// Output arguments
std::cout << "outputFilename " << outputFilename << std::endl;
std::cout << "size " << size << std::endl;
std::cout << "value " << value << std::endl;
ImageType::Pointer image = ImageType::New();
itk::Index<2> index = {{0,0}};
itk::ImageRegion<2> region(index, size);
image->SetRegions(region);
image->SetNumberOfComponentsPerPixel(components);
image->Allocate();
typename itk::ImageRegionIterator<ImageType> imageIterator(image, image->GetLargestPossibleRegion());
ImageType::PixelType pixel;
pixel.SetSize(components);
pixel.Fill(value);
while(!imageIterator.IsAtEnd())
{
imageIterator.Set(pixel);
++imageIterator;
}
// Write the result
typedef itk::ImageFileWriter<ImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName(outputFilename);
writer->SetInput(image);
writer->Update();
return EXIT_SUCCESS;
}
void TestComputeMaskedImage1DHistogram()
{
// // Single channel
// {
// typedef itk::Image<unsigned char, 2> ImageType;
// ImageType::Pointer image = ImageType::New();
// ImageType::IndexType corner = {{0,0}};
// ImageType::SizeType size = {{100,100}};
// ImageType::RegionType region(corner, size);
// image->SetRegions(region);
// image->Allocate();
// itk::ImageRegionIterator<ImageType> imageIterator(image,region);
// while(!imageIterator.IsAtEnd())
// {
// if(imageIterator.GetIndex()[0] < 70)
// {
// imageIterator.Set(255);
// }
// else
// {
// imageIterator.Set(0);
// }
// ++imageIterator;
// }
// ImageType::PixelType rangeMin = 0;
// ImageType::PixelType rangeMax = 255;
// unsigned int numberOfBins = 10;
// typedef int BinValueType;
// typedef Histogram<BinValueType>::HistogramType HistogramType;
// HistogramType histogram = Histogram<BinValueType>::ComputeImageHistogram1D(image.GetPointer(),
// image->GetLargestPossibleRegion(),
// numberOfBins, rangeMin, rangeMax);
// Histogram<BinValueType>::OutputHistogram(histogram);
// std::cout << std::endl;
// }
// Multi channel VectorImage
{
typedef itk::VectorImage<unsigned char, 2> ImageType;
ImageType::Pointer image = ImageType::New();
ImageType::IndexType corner = {{0,0}};
ImageType::SizeType size = {{100,100}};
ImageType::RegionType region(corner, size);
image->SetRegions(region);
image->SetNumberOfComponentsPerPixel(3);
image->Allocate();
Mask::Pointer mask = Mask::New();
mask->SetRegions(region);
mask->Allocate();
itk::ImageRegionIterator<ImageType> imageIterator(image,region);
while(!imageIterator.IsAtEnd())
{
ImageType::PixelType pixel(image->GetNumberOfComponentsPerPixel());
if(imageIterator.GetIndex()[0] < 70)
{
for(unsigned int i = 0; i < pixel.GetSize(); ++i)
{
pixel[i] = 255;
}
}
else
{
for(unsigned int i = 0; i < pixel.GetSize(); ++i)
{
pixel[i] = 0;
}
}
imageIterator.Set(pixel);
++imageIterator;
}
// TypeTraits<ImageType::PixelType>::ComponentType rangeMin = 0;
// TypeTraits<ImageType::PixelType>::ComponentType rangeMax = 255;
ImageType::PixelType rangeMins;
rangeMins.SetSize(image->GetNumberOfComponentsPerPixel());
rangeMins.Fill(0);
ImageType::PixelType rangeMaxs;
rangeMaxs.SetSize(image->GetNumberOfComponentsPerPixel());
rangeMaxs.Fill(255);
unsigned int numberOfBinsPerComponent = 10;
typedef int BinValueType;
itk::ImageRegion<2> imageRegion = image->GetLargestPossibleRegion();
itk::ImageRegion<2> maskRegion = image->GetLargestPossibleRegion();
typedef MaskedHistogramGenerator<BinValueType> HistogramGeneratorType;
typedef HistogramGeneratorType::HistogramType HistogramType;
bool allowOutside = false;
HistogramType histogram =
HistogramGeneratorType::ComputeMaskedImage1DHistogram(image.GetPointer(), imageRegion,
mask.GetPointer(), maskRegion,
numberOfBinsPerComponent, rangeMins, rangeMaxs,
allowOutside, HoleMaskPixelTypeEnum::VALID);
histogram.Print();
std::cout << std::endl;
}
// // Multi channel Image<CovariantVector>
// {
// typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> ImageType;
// ImageType::Pointer image = ImageType::New();
// ImageType::IndexType corner = {{0,0}};
// ImageType::SizeType size = {{100,100}};
// ImageType::RegionType region(corner, size);
// image->SetRegions(region);
// image->Allocate();
// itk::ImageRegionIterator<ImageType> imageIterator(image,region);
// while(!imageIterator.IsAtEnd())
// {
// ImageType::PixelType pixel(image->GetNumberOfComponentsPerPixel());
// if(imageIterator.GetIndex()[0] < 70)
// {
// for(unsigned int i = 0; i < pixel.GetNumberOfComponents(); ++i)
// {
// pixel[i] = 255;
// }
// }
// else
// {
// for(unsigned int i = 0; i < pixel.GetNumberOfComponents(); ++i)
// {
// pixel[i] = 0;
// }
// }
// imageIterator.Set(pixel);
// ++imageIterator;
// }
// TypeTraits<ImageType::PixelType>::ComponentType rangeMin = 0;
// TypeTraits<ImageType::PixelType>::ComponentType rangeMax = 255;
// unsigned int numberOfBinsPerComponent = 10;
// typedef int BinValueType;
// Histogram<BinValueType>::HistogramType histogram = Histogram<BinValueType>::ComputeImageHistogram1D(image.GetPointer(),
// image->GetLargestPossibleRegion(),
// numberOfBinsPerComponent, rangeMin, rangeMax);
// Histogram<BinValueType>::OutputHistogram(histogram);
// std::cout << std::endl;
// }
}
int main(int, char*[])
{
// typedef itk::Image<itk::CovariantVector<int, 3>, 2> ImageType;
typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> ImageType;
ImageType::PixelType red;
red.Fill(0);
red[0] = 255;
ImageType::PixelType black;
black.Fill(0);
ImageType::PixelType white;
white.Fill(255);
ImageType::PixelType green; // Note this is not 255 because then the magnitude of red and green would be the same,
// which makes debugging hard since the gradient of the magnitude image is used internally (in IntroducedEnergy).
green.Fill(0);
green[1] = 122;
ImageType::PixelType blue;
blue.Fill(0);
blue[2] = 255;
ImageType::Pointer image = ImageType::New();
itk::Index<2> imageCorner = {{0,0}};
itk::Size<2> imageSize = {{100,100}};
itk::ImageRegion<2> region(imageCorner,imageSize);
image->SetRegions(region);
image->Allocate();
Mask::Pointer mask = Mask::New();
mask->SetRegions(region);
mask->Allocate();
itk::ImageRegionIteratorWithIndex<Mask> initializeMaskIterator(mask, mask->GetLargestPossibleRegion());
while(!initializeMaskIterator.IsAtEnd())
{
if(initializeMaskIterator.GetIndex()[0] < 55)
{
initializeMaskIterator.Set(mask->GetHoleValue());
}
else
{
initializeMaskIterator.Set(mask->GetValidValue());
}
++initializeMaskIterator;
}
ITKHelpers::WriteImage(mask.GetPointer(), "mask.png");
// Create a red image
itk::ImageRegionIterator<ImageType> initializeIterator(image, image->GetLargestPossibleRegion());
while(!initializeIterator.IsAtEnd())
{
initializeIterator.Set(red);
++initializeIterator;
}
// Setup source and target patch
itk::Size<2> patchSize = {{10,10}};
itk::Index<2> sourceCorner = {{10,10}};
itk::ImageRegion<2> sourceRegion(sourceCorner, patchSize);
itk::Index<2> targetCorner = {{50,50}};
itk::ImageRegion<2> targetRegion(targetCorner, patchSize);
itk::Index<2> perfectSourceCorner = {{75,75}};
itk::ImageRegion<2> perfectSourceRegion(perfectSourceCorner, patchSize);
// Make the source patch green
itk::ImageRegionIterator<ImageType> sourceRegionIterator(image, sourceRegion);
while(!sourceRegionIterator.IsAtEnd())
{
sourceRegionIterator.Set(green);
++sourceRegionIterator;
}
ITKHelpers::WriteImage(image.GetPointer(), "image.png");
{
ImageType::Pointer regionHighlightImage = ImageType::New();
ITKHelpers::DeepCopy(image.GetPointer(), regionHighlightImage.GetPointer());
ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), sourceRegion, white);
ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), targetRegion, black);
ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), perfectSourceRegion, blue);
ITKHelpers::WriteImage(regionHighlightImage.GetPointer(), "regions.png");
}
IntroducedEnergy<ImageType> introducedEnergy;
introducedEnergy.SetDebugImages(true);
// Bad match
{
std::cout << "Bad match:" << std::endl;
float patchBoundaryEnergy = introducedEnergy.ComputeIntroducedEnergyPatchBoundary(image, mask, sourceRegion, targetRegion);
std::cout << "patchBoundaryEnergy: " << patchBoundaryEnergy << std::endl;
float maskBoundaryEnergy = introducedEnergy.ComputeIntroducedEnergyMaskBoundary(image, mask, sourceRegion, targetRegion);
std::cout << "maskBoundaryEnergy: " << maskBoundaryEnergy << std::endl;
float totalEnergy = introducedEnergy.ComputeIntroducedEnergy(image, mask, sourceRegion, targetRegion);
std::cout << "totalEnergy: " << totalEnergy << std::endl;
}
// Perfect match
{
std::cout << "Perfect match:" << std::endl;
// IntroducedEnergy<ImageType> introducedEnergy;
typedef IntroducedEnergy<ImageType> IntroducedEnergyType;
float patchBoundaryEnergy = introducedEnergy.ComputeIntroducedEnergyPatchBoundary(image, mask, perfectSourceRegion, targetRegion);
std::cout << "patchBoundaryEnergy: " << patchBoundaryEnergy << std::endl;
float maskBoundaryEnergy = introducedEnergy.ComputeIntroducedEnergyMaskBoundary(image, mask, perfectSourceRegion, targetRegion);
std::cout << "maskBoundaryEnergy: " << maskBoundaryEnergy << std::endl;
float totalEnergy = introducedEnergy.ComputeIntroducedEnergy(image, mask, perfectSourceRegion, targetRegion);
std::cout << "totalEnergy: " << totalEnergy << std::endl;
}
return EXIT_SUCCESS;
}
void mitk::DiffusionPropertyHelper::AverageRedundantGradients(double precision)
{
mitk::GradientDirectionsProperty* DirectionsProperty = static_cast<mitk::GradientDirectionsProperty*>( m_Image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() );
GradientDirectionsContainerType::Pointer oldDirs = DirectionsProperty->GetGradientDirectionsContainer();
GradientDirectionsContainerType::Pointer newDirs =
CalcAveragedDirectionSet(precision, oldDirs);
// if sizes equal, we do not need to do anything in this function
if(oldDirs->size() == newDirs->size())
return;
// new image
ImageType::Pointer oldImage = ImageType::New();
mitk::CastToItkImage( m_Image, oldImage);
ImageType::Pointer newITKImage = ImageType::New();
newITKImage->SetSpacing( oldImage->GetSpacing() ); // Set the image spacing
newITKImage->SetOrigin( oldImage->GetOrigin() ); // Set the image origin
newITKImage->SetDirection( oldImage->GetDirection() ); // Set the image direction
newITKImage->SetLargestPossibleRegion( oldImage->GetLargestPossibleRegion() );
newITKImage->SetVectorLength( newDirs->size() );
newITKImage->SetBufferedRegion( oldImage->GetLargestPossibleRegion() );
newITKImage->Allocate();
// average image data that corresponds to identical directions
itk::ImageRegionIterator< ImageType > newIt(newITKImage, newITKImage->GetLargestPossibleRegion());
newIt.GoToBegin();
itk::ImageRegionIterator< ImageType > oldIt(oldImage, oldImage->GetLargestPossibleRegion());
oldIt.GoToBegin();
// initial new value of voxel
ImageType::PixelType newVec;
newVec.SetSize(newDirs->size());
newVec.AllocateElements(newDirs->size());
// find which gradients should be averaged
GradientDirectionsContainerType::Pointer oldDirections = oldDirs;
std::vector<std::vector<int> > dirIndices;
for(GradientDirectionsContainerType::ConstIterator gdcitNew = newDirs->Begin();
gdcitNew != newDirs->End(); ++gdcitNew)
{
dirIndices.push_back(std::vector<int>(0));
for(GradientDirectionsContainerType::ConstIterator gdcitOld = oldDirs->Begin();
gdcitOld != oldDirections->End(); ++gdcitOld)
{
if(AreAlike(gdcitNew.Value(), gdcitOld.Value(), precision))
{
//MITK_INFO << gdcitNew.Value() << " " << gdcitOld.Value();
dirIndices[gdcitNew.Index()].push_back(gdcitOld.Index());
}
}
}
//int ind1 = -1;
while(!newIt.IsAtEnd())
{
// progress
//typename ImageType::IndexType ind = newIt.GetIndex();
//ind1 = ind.m_Index[2];
// init new vector with zeros
newVec.Fill(0.0);
// the old voxel value with duplicates
ImageType::PixelType oldVec = oldIt.Get();
for(unsigned int i=0; i<dirIndices.size(); i++)
{
// do the averaging
const unsigned int numavg = dirIndices[i].size();
unsigned int sum = 0;
for(unsigned int j=0; j<numavg; j++)
{
//MITK_INFO << newVec[i] << " << " << oldVec[dirIndices[i].at(j)];
sum += oldVec[dirIndices[i].at(j)];
}
if(numavg == 0)
{
MITK_ERROR << "VectorImage: Error on averaging. Possibly due to corrupted data";
return;
}
newVec[i] = sum / numavg;
}
newIt.Set(newVec);
++newIt;
++oldIt;
}
mitk::GrabItkImageMemory( newITKImage, m_Image );
m_Image->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( newDirs ) );
m_Image->SetProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( newDirs ) );
ApplyMeasurementFrame();
UpdateBValueMap();
std::cout << std::endl;
}
static void testGeneratedImage()
{
// create itk rgb image
typedef unsigned char PixelType;
typedef itk::Image< itk::RGBPixel<PixelType>, 2 > ImageType;
ImageType::Pointer itkImage = ImageType::New();
ImageType::IndexType start;
start[0] = 0; // first index on X
start[1] = 0; // first index on Y
ImageType::SizeType size;
size[0] = 50; // size along X
size[1] = 40; // size along Y
ImageType::RegionType region;
region.SetSize( size );
region.SetIndex( start );
itkImage->SetRegions( region );
itkImage->Allocate();
typedef itk::ImageRegionIterator<ImageType> IteratorType;
IteratorType it(itkImage, region);
float twoThirdsTheWidth = size[0] / 4;
unsigned int x=0, y=0;
// create rgb pic
for ( it.GoToBegin(); !it.IsAtEnd(); ++it )
{
ImageType::PixelType newPixel;
newPixel.SetRed(0);
newPixel.SetGreen(0);
// create asymmetric pic
if( x > twoThirdsTheWidth )
newPixel.SetBlue(0);
else
newPixel.SetBlue(255);
it.Set(newPixel);
++x;
// next line found
if( x == size[0] )
x = 0;
}
// debugging
// itk::ImageFileWriter< ImageType >::Pointer writer = itk::ImageFileWriter< ImageType >::New();
// writer->SetFileName( "c:\\image.png" );
// writer->SetInput ( itkImage );
// writer->Update();
// import rgb image as MITK image
mitk::Image::Pointer mitkImage = mitk::ImportItkImage(itkImage)->Clone();
mitk::ImageToOpenCVImageFilter::Pointer _ImageToOpenCVImageFilter =
mitk::ImageToOpenCVImageFilter::New();
_ImageToOpenCVImageFilter->SetImage( mitkImage );
IplImage* openCVImage = _ImageToOpenCVImageFilter->GetOpenCVImage();
MITK_TEST_CONDITION_REQUIRED( openCVImage != NULL, "Image returned by filter is not null.");
// check byte size
const unsigned int expectedSize = size[0] * size[1] * 3 * sizeof( unsigned char);// sizeof( PixelType );
const unsigned int realSize = openCVImage->width * openCVImage->height * openCVImage->nChannels * sizeof( unsigned char);//* sizeof ( PixelType );
MITK_TEST_CONDITION_REQUIRED( expectedSize == realSize, "Test expectedSize == realSize");
// check pixel values
PixelType expectedBlueValue;
CvScalar s;
for (y = 0; (int)y < openCVImage->height; ++y)
{
for (x = 0; (int)x < openCVImage->width; ++x)
{
expectedBlueValue = 255;
if(x > twoThirdsTheWidth)
expectedBlueValue = 0;
s = cvGet2D(openCVImage,y,x);
if( s.val[0] != expectedBlueValue || s.val[1] != 0 || s.val[2] != 0 )
{
std::cout << "Wrong RGB values in created OpenCV image" << std::endl;
throw mitk::TestFailedException();
}
}
}
// cvNamedWindow( "test" );
// cvShowImage( "test" , openCVImage );
// cvWaitKey();
}
