public obraz(int maxSlide, itk.simple.Image image)
{
InitializeComponent();
this.przekroj.Maximum = maxSlide;
this.imagetoDisplay = image;
}
private float Max(itk.simple.Image image)
{
itk.simple.MinimumMaximumImageFilter minimumFilter = new MinimumMaximumImageFilter();
minimumFilter.Execute(image);
float min = (float)minimumFilter.GetMaximum();
return min;
}
public itk.simple.Image SegmetacjaSledziony(itk.simple.Image image)
{
itk.simple.MorphologicalGradientImageFilter gradientFilter = new MorphologicalGradientImageFilter();
gradientFilter.SetKernelType(KernelEnum.sitkCross);
gradientFilter.SetKernelRadius(1);
itk.simple.Image gradientImage = gradientFilter.Execute(image);
itk.simple.SigmoidImageFilter sigmoidFilter = new SigmoidImageFilter();
sigmoidFilter.SetOutputMinimum(0);
sigmoidFilter.SetOutputMaximum(1);
sigmoidFilter.SetAlpha(1.5);
sigmoidFilter.SetBeta(100);
itk.simple.Image sigmoidImage = sigmoidFilter.Execute(gradientImage);
itk.simple.BinaryThresholdImageFilter threshFilter = new BinaryThresholdImageFilter();
threshFilter.SetLowerThreshold(100);
threshFilter.SetUpperThreshold(180);
threshFilter.SetOutsideValue(0);
threshFilter.SetInsideValue(1);
itk.simple.Image threshImage = threshFilter.Execute(image);
itk.simple.CastImageFilter castThresh = new CastImageFilter();
castThresh.SetOutputPixelType(itk.simple.PixelIDValueEnum.sitkInt16);
itk.simple.Image castThreshImage = castThresh.Execute(threshImage);
itk.simple.SubtractImageFilter substractFilter = new SubtractImageFilter();
itk.simple.Image substractImage = substractFilter.Execute(castThreshImage, sigmoidImage);
itk.simple.ThresholdImageFilter threshFilter2 = new ThresholdImageFilter();
threshFilter2.SetLower(0);
threshFilter2.SetUpper(0);
threshFilter2.SetOutsideValue(1);
itk.simple.Image threshImage2 = threshFilter2.Execute(substractImage);
itk.simple.BinaryErodeImageFilter erodeFilter = new BinaryErodeImageFilter();
erodeFilter.SetForegroundValue(1);
erodeFilter.SetBackgroundValue(0);
erodeFilter.SetKernelType(itk.simple.KernelEnum.sitkCross);
erodeFilter.SetKernelRadius(5);
itk.simple.Image erodeImage = erodeFilter.Execute(threshImage2);
itk.simple.ConnectedComponentImageFilter connFilter = new ConnectedComponentImageFilter();
connFilter.SetFullyConnected(true);
itk.simple.Image connImage = connFilter.Execute(erodeImage);
itk.simple.RelabelComponentImageFilter relabelFilter = new RelabelComponentImageFilter();
relabelFilter.SetMinimumObjectSize(5000);
itk.simple.Image relabelImage = relabelFilter.Execute(connImage);
itk.simple.BinaryThresholdImageFilter threshFilter3 = new BinaryThresholdImageFilter();
threshFilter3.SetInsideValue(1);
threshFilter3.SetOutsideValue(0);
threshFilter3.SetLowerThreshold(1);
threshFilter3.SetUpperThreshold(1);
itk.simple.Image threshImage3 = threshFilter3.Execute(relabelImage);
itk.simple.DilateObjectMorphologyImageFilter closeReconstructFilter = new DilateObjectMorphologyImageFilter();
closeReconstructFilter.SetKernelType(itk.simple.KernelEnum.sitkCross);
closeReconstructFilter.SetKernelRadius(5);
itk.simple.Image closeReconstructImage = closeReconstructFilter.Execute(threshImage3);
itk.simple.ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName("SegmentujSledzione.dcm");
writer.Execute(closeReconstructImage);
return closeReconstructImage;
}
public itk.simple.Image NalozObrazy(itk.simple.Image original, itk.simple.Image segmented)
{
itk.simple.MinimumMaximumImageFilter maxminFilter = new MinimumMaximumImageFilter();
maxminFilter.Execute(original);
double max = maxminFilter.GetMaximum();
itk.simple.CastImageFilter caster1 = new CastImageFilter();
caster1.SetOutputPixelType(itk.simple.PixelIDValueEnum.sitkInt16);
itk.simple.Image castImg = caster1.Execute(segmented);
itk.simple.MultiplyImageFilter multiplyFilter = new MultiplyImageFilter();
itk.simple.Image multiplyImage = multiplyFilter.Execute(castImg, max);
itk.simple.MaximumImageFilter maximumFilter = new MaximumImageFilter();
itk.simple.Image maximumImage = maximumFilter.Execute(original, multiplyImage);
//itk.simple.IntensityWindowingImageFilter windower = new IntensityWindowingImageFilter();
//windower.SetWindowMinimum(0);
//windower.SetWindowMaximum(255);
//windower.SetOutputMinimum(0);
//windower.SetOutputMaximum(1);
//itk.simple.Image window = windower.Execute(maximumImage);
itk.simple.ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName("Wynik.dcm");
writer.Execute(maximumImage);
return maximumImage;
}
public itk.simple.Image WstepnePrzetwarzanie(itk.simple.Image image)
{
itk.simple.BinaryMorphologicalClosingImageFilter closer = new BinaryMorphologicalClosingImageFilter();
closer.SetKernelType(KernelEnum.sitkCross);
closer.SetKernelRadius(1);
closer.SetForegroundValue(511);
itk.simple.Image imClose = closer.Execute(image);
itk.simple.SmoothingRecursiveGaussianImageFilter gauss = new SmoothingRecursiveGaussianImageFilter();
gauss.SetSigma(1);
itk.simple.Image gausImage = gauss.Execute(imClose);
itk.simple.CastImageFilter caster = new CastImageFilter();
caster.SetOutputPixelType(itk.simple.PixelIDValueEnum.sitkInt16);
itk.simple.Image castImage = caster.Execute(gausImage);
itk.simple.ImageFileWriter writer = new itk.simple.ImageFileWriter();
writer.SetFileName("WstepnePrzetwarzanie.dcm");
writer.Execute(image);
return castImage;
}
