public void Apply()
{
if (this.SelectedImageGraphicProvider == null)
{
return;
}
ImageGraphic image = this.SelectedImageGraphicProvider.ImageGraphic;
if (image == null)
{
return;
}
if (!(image is GrayscaleImageGraphic))
{
return;
}
itkImageBase input = ItkHelper.CreateItkImage(image as GrayscaleImageGraphic);
itkImageBase output = itkImage.New(input);
ItkHelper.CopyToItkImage(image as GrayscaleImageGraphic, input);
FilterType filter = FilterType.New(input, output);
filter.SetInput(input);
String mangledType = input.MangledTypeString;
intensityFilterType intensityFilter = intensityFilterType.New(mangledType + mangledType);
intensityFilter.SetInput(filter.GetOutput());
intensityFilter.OutputMinimum = 0;
if (image.BitsPerPixel == 16)
{
intensityFilter.OutputMaximum = 32767;
}
else
{
intensityFilter.OutputMaximum = 255;
}
intensityFilter.Update();
intensityFilter.GetOutput(output);
ItkHelper.CopyFromItkImage(image as GrayscaleImageGraphic, output);
image.Draw();
filter.Dispose();
intensityFilter.Dispose();
input.Dispose();
output.Dispose();
}
public void Apply()
{
if (this.SelectedImageGraphicProvider == null)
{
return;
}
ImageGraphic image = this.SelectedImageGraphicProvider.ImageGraphic;
if (image == null)
{
return;
}
if (!(image is GrayscaleImageGraphic))
{
return;
}
itkImageBase input = ItkHelper.CreateItkImage(image as GrayscaleImageGraphic);
itkImageBase output = itkImage.New(input);
ItkHelper.CopyToItkImage(image as GrayscaleImageGraphic, input);
FilterType filter = FilterType.New(input, output);
filter.SetInput(input);
filter.Update();
filter.GetOutput(output);
ItkHelper.CopyFromItkImage(image as GrayscaleImageGraphic, output);
image.Draw();
filter.Dispose();
input.Dispose();
output.Dispose();
}
public void Apply()
{
if (this.SelectedImageGraphicProvider == null)
{
return;
}
ImageGraphic image = this.SelectedImageGraphicProvider.ImageGraphic;
if (image == null)
{
return;
}
if (!(image is GrayscaleImageGraphic))
{
return;
}
itkImageBase input = ItkHelper.CreateItkImage(image as GrayscaleImageGraphic);
itkImageBase output = itkImage.New(input);
ItkHelper.CopyToItkImage(image as GrayscaleImageGraphic, input);
String mangledType = input.MangledTypeString;
CastImageFilterType castToIF2 = CastImageFilterType.New(mangledType + "IF2");
SmoothingFilterType smoothingFilter = SmoothingFilterType.New("IF2IF2");
smoothingFilter.TimeStep = 0.125;
smoothingFilter.NumberOfIterations = 5;
smoothingFilter.ConductanceParameter = 9.0;
GradientMagnitudeFilterType gradientMagnitudeFilter = GradientMagnitudeFilterType.New("IF2IF2");
gradientMagnitudeFilter.Sigma = 1.0;
SigmoidFilterType sigmoidFilter = SigmoidFilterType.New("IF2IF2");
sigmoidFilter.OutputMinimum = 0.0;
sigmoidFilter.OutputMaximum = 1.0;
sigmoidFilter.Alpha = -0.5; //-0.3
sigmoidFilter.Beta = 3.0; //2.0
FastMarchingFilterType fastMarchingFilter = FastMarchingFilterType.New("IF2IF2");
double seedValue = 0.0;
int[] seedPosition = { 256, 256 };// user input
itkIndex seedIndex = new itkIndex(seedPosition);
itkLevelSetNode[] trialPoints = { new itkLevelSetNode(seedValue, seedIndex) };
fastMarchingFilter.TrialPoints = trialPoints;
fastMarchingFilter.StoppingValue = 100;
BinaryThresholdFilterType binaryThresholdFilter = BinaryThresholdFilterType.New("IF2" + mangledType); //to UC2?
binaryThresholdFilter.UpperThreshold = 100.0; //200
binaryThresholdFilter.LowerThreshold = 0.0;
binaryThresholdFilter.OutsideValue = 0;
if (image.BitsPerPixel == 16)
{
binaryThresholdFilter.InsideValue = (image as GrayscaleImageGraphic).ModalityLut.MaxInputValue;//32767;
}
else
{
binaryThresholdFilter.InsideValue = 255;
}
//intensityFilterType intensityFilter = intensityFilterType.New("UC2" + mangledType);
//intensityFilter.OutputMinimum = 0;
//if (image.BitsPerPixel == 16)
// intensityFilter.OutputMaximum = (image as GrayscaleImageGraphic).ModalityLut.MaxInputValue;//32767;
//else
// intensityFilter.OutputMaximum = 255;
// Make data stream connections
castToIF2.SetInput(input);
smoothingFilter.SetInput(castToIF2.GetOutput());
gradientMagnitudeFilter.SetInput(smoothingFilter.GetOutput());
sigmoidFilter.SetInput(gradientMagnitudeFilter.GetOutput());
fastMarchingFilter.SetInput(sigmoidFilter.GetOutput());
binaryThresholdFilter.SetInput(fastMarchingFilter.GetOutput());
//intensityFilter.SetInput(binaryThresholdFilter.GetOutput());
//smoothingFilter.Update();
fastMarchingFilter.OutputSize = input.BufferedRegion.Size;//?
binaryThresholdFilter.Update();
binaryThresholdFilter.GetOutput(output);
ItkHelper.CopyFromItkImage(image as GrayscaleImageGraphic, output);
image.Draw();
input.Dispose();
output.Dispose();
}
public void Apply()
{
if (this.SelectedImageGraphicProvider == null)
{
return;
}
ImageGraphic image = this.SelectedImageGraphicProvider.ImageGraphic;
if (image == null)
{
return;
}
if (!(image is GrayscaleImageGraphic))
{
return;
}
byte[] pixels = image.PixelData.Raw;
itkImageBase input = ItkHelper.CreateItkImage(image as GrayscaleImageGraphic);
itkImageRegion region = input.LargestPossibleRegion;
itkImageBase output = itkImage.New(input);
ItkHelper.CopyToItkImage(image as GrayscaleImageGraphic, input);
string mangledType = input.MangledTypeString;
string mangledType2 = input.PixelType.MangledTypeString;
CastImageFilterType castToIF2 = CastImageFilterType.New(mangledType + "IF2");
castToIF2.SetInput(input);
FilterType filter = FilterType.New("IF2IF2");
filter.SetInput(castToIF2.GetOutput());
intensityFilterType intensityFilter = intensityFilterType.New("IF2" + mangledType);
intensityFilter.SetInput(filter.GetOutput());
intensityFilter.OutputMinimum = 0;
if (image.BitsPerPixel == 16)
{
intensityFilter.OutputMaximum = (image as GrayscaleImageGraphic).ModalityLut.MaxInputValue;
}
else
{
intensityFilter.OutputMaximum = 255;
}
intensityFilter.Update();
intensityFilter.GetOutput(output);
ItkHelper.CopyFromItkImage(image as GrayscaleImageGraphic, output);
image.Draw();
filter.Dispose();
intensityFilter.Dispose();
input.Dispose();
output.Dispose();
}
public void Apply()
{
if (this.SelectedImageGraphicProvider == null)
{
return;
}
ImageGraphic image = this.SelectedImageGraphicProvider.ImageGraphic;
if (image == null)
{
return;
}
if (!(image is GrayscaleImageGraphic))
{
return;
}
itkImageBase input = ItkHelper.CreateItkImage(image as GrayscaleImageGraphic);
itkImageBase output = itkImage.New(input);
ItkHelper.CopyToItkImage(image as GrayscaleImageGraphic, input);
FilterType filter = FilterType.New(input, output);
bool abc = false;
if (abc)
{
byte[] pixels = image.PixelData.Raw;
unsafe
{
byte[] dummy = new byte[512 * 512];
IntPtr bptr = input.Buffer;
void * pbptr = bptr.ToPointer();
{
filter.SetInput(bptr);
}
fixed(byte *dummyAddr = &dummy[0])
{
*dummyAddr = 1;
*(dummyAddr + 1) = 2;
IntPtr ptr = new IntPtr(dummyAddr);
filter.SetInput(ptr);
}
fixed(byte *pByte = image.PixelData.Raw)
{
IntPtr x = new IntPtr((void *)pByte);
void * p = x.ToPointer();
filter.SetInput(x);//runtime memory protected exception because it expects x.ToPointer() is ITK::Image_XX* (see implementation of MITK)
}
}
}
else
{
filter.SetInput(input);
}
filter.NormalizeAcrossScale = false;
filter.Sigma = 3;
filter.Update();
filter.GetOutput(output);
filter.GetOutput(output);
ItkHelper.CopyFromItkImage(image as GrayscaleImageGraphic, output);
image.Draw();
filter.Dispose();
input.Dispose();
output.Dispose();
}
public void Apply()
{
if (this.SelectedImageGraphicProvider == null)
{
return;
}
ImageGraphic image = this.SelectedImageGraphicProvider.ImageGraphic;
if (image == null)
{
return;
}
if (!(image is GrayscaleImageGraphic))
{
return;
}
byte[] pixels = image.PixelData.Raw;
itkImageBase input = ItkHelper.CreateItkImage(image as GrayscaleImageGraphic);
itkImageRegion region = input.LargestPossibleRegion;
itkImageBase output = itkImage.New(input);
ItkHelper.CopyToItkImage(image as GrayscaleImageGraphic, input);
String mangledType = input.MangledTypeString;
CastImageFilterType castToIF2 = CastImageFilterType.New(mangledType + "IF2");
castToIF2.SetInput(input);
FilterType filter = FilterType.New("IF2IF2");
filter.SetInput(castToIF2.GetOutput());
// TODO: need to allow user to set parameters of filter
filter.LowerThreshold = 90;
filter.UpperThreshold = 127;
//filter.OutsideValue = 0;
// smoothing the edge
double[] error = { 0.01, 0.01 };
filter.MaximumError = error;
double[] var = { 1.0, 1.0 };
filter.Variance = var;
intensityFilterType intensityFilter = intensityFilterType.New("IF2" + mangledType);
intensityFilter.SetInput(filter.GetOutput());
intensityFilter.OutputMinimum = 0;
if (image.BitsPerPixel == 16)
{
intensityFilter.OutputMaximum = (image as GrayscaleImageGraphic).ModalityLut.MaxInputValue;//32767;
}
else
{
intensityFilter.OutputMaximum = 255;
}
intensityFilter.Update();
#if DEBUG
bool debug = false;
if (debug)
{
itkImageBase outputIF2 = itkImage.New("IF2");
filter.GetOutput(outputIF2);
float min = float.MaxValue, max = float.MinValue;
unsafe
{
fixed(byte *pDstByte = image.PixelData.Raw)
{
itkImageRegionConstIterator_IF2 itkIt = new itkImageRegionConstIterator_IF2(outputIF2, region);
byte *pDst = (byte *)pDstByte;
int height = image.Rows;
int width = image.Columns;
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
float f = itkIt.Get().ValueAsF;
if (f > max)
{
max = f;
}
if (f < min)
{
min = f;
}
pDst[0] = (byte)itkIt.Get().ValueAsF;
pDst++;
itkIt++;
}
}
}
}
Console.WriteLine("min max "); Console.Write(min); Console.Write(" "); Console.WriteLine(max);
}
#endif
intensityFilter.GetOutput(output);
ItkHelper.CopyFromItkImage(image as GrayscaleImageGraphic, output);
image.Draw();
filter.Dispose();
intensityFilter.Dispose();
input.Dispose();
output.Dispose();
}