static void Main(string[] args)
{
try {
if (args.Length < 3) {
Console.WriteLine("Usage: SimpleGaussian <input> <sigma> <output>");
return;
}
// Read input image
ImageFileReader reader = new ImageFileReader();
reader.SetFileName(args[0]);
Image image = reader.Execute();
// Execute Gaussian smoothing filter
SmoothingRecursiveGaussianImageFilter gaussian = new SmoothingRecursiveGaussianImageFilter();
gaussian.SetSigma(Double.Parse(args[1]));
Image blurredImage = gaussian.Execute(image);
// Covert the real output image back to the original pixel type , to
// make writing easier , as many file formats don 't support real
// pixels .
CastImageFilter castFilter = new CastImageFilter();
castFilter.SetOutputPixelType(image.GetPixelIDValue());
Image destImage = castFilter.Execute(blurredImage);
// Write output image
ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName(args[2]);
writer.Execute(destImage);
} catch (Exception ex) {
Console.WriteLine(ex);
}
}
static void Main(string[] args)
{
try {
if (args.Length < 3)
{
Console.WriteLine("Usage: SimpleGaussian <input> <sigma> <output>");
return;
}
// Read input image
ImageFileReader reader = new ImageFileReader();
reader.SetFileName(args[0]);
Image image = reader.Execute();
// Execute Gaussian smoothing filter
SmoothingRecursiveGaussianImageFilter gaussian = new SmoothingRecursiveGaussianImageFilter();
gaussian.SetSigma(Double.Parse(args[1]));
Image blurredImage = gaussian.Execute(image);
// Covert the real output image back to the original pixel type , to
// make writing easier , as many file formats don 't support real
// pixels .
CastImageFilter castFilter = new CastImageFilter();
castFilter.SetOutputPixelType(image.GetPixelID());
Image destImage = castFilter.Execute(blurredImage);
// Write output image
ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName(args[2]);
writer.Execute(destImage);
} catch (Exception ex) {
Console.WriteLine(ex);
}
}
static void Main(string[] args)
{
try {
if (args.Length < 3) {
Console.WriteLine("Usage: SimpleGaussian <input> <sigma> <output>");
return;
}
// Read input image
ImageFileReader reader = new ImageFileReader();
reader.SetFileName(args[0]);
Image image = reader.Execute();
// Execute Gaussian smoothing filter
SmoothingRecursiveGaussianImageFilter gaussian = new SmoothingRecursiveGaussianImageFilter();
gaussian.SetSigma(Double.Parse(args[1]));
image = gaussian.Execute(image);
// Write output image
ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName(args[2]);
writer.Execute(image);
} catch (Exception ex) {
Console.WriteLine(ex);
}
}
static void Main(string[] args)
{
try {
if (args.Length < 3)
{
Console.WriteLine("Usage: SimpleGaussian <input> <sigma> <output>");
return;
}
// Read input image
ImageFileReader reader = new ImageFileReader();
reader.SetFileName(args[0]);
Image image = reader.Execute();
// Execute Gaussian smoothing filter
SmoothingRecursiveGaussianImageFilter gaussian = new SmoothingRecursiveGaussianImageFilter();
gaussian.SetSigma(Double.Parse(args[1]));
image = gaussian.Execute(image);
// Write output image
ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName(args[2]);
writer.Execute(image);
} catch (Exception ex) {
Console.WriteLine(ex);
}
}
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);
}
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;
}
