ITK  5.0.0
Insight Segmentation and Registration Toolkit
WikiExamples/ImageProcessing/RegionalMinimaImageFilter.cxx
#include "itkImage.h"
using ImageType = itk::Image<unsigned char, 2>;
static void CreateImage(ImageType::Pointer image);
int main(int, char *[])
{
ImageType::Pointer image = ImageType::New();
CreateImage(image);
using RegionalMinimaImageFilterType = itk::RegionalMinimaImageFilter <ImageType, ImageType >;
RegionalMinimaImageFilterType::Pointer regionalMinimaImageFilter
= RegionalMinimaImageFilterType::New ();
regionalMinimaImageFilter->SetInput(image);
regionalMinimaImageFilter->Update();
WriterType::Pointer writer = WriterType::New();
writer->SetFileName("input.png");
writer->SetInput( image );
writer->Update();
writer->SetFileName("output.png");
writer->SetInput( regionalMinimaImageFilter->GetOutput() );
writer->Update();
return EXIT_SUCCESS;
}
void CreateImage(ImageType::Pointer image)
{
start.Fill(0);
size[0] = 200;
size[1] = 300;
ImageType::RegionType region(start,size);
image->SetRegions(region);
image->Allocate();
// Make two intensity blobs
for(unsigned int r = 0; r < size[1]; r++)
{
for(unsigned int c = 0; c < size[0]; c++)
{
pixelIndex[0] = c;
pixelIndex[1] = r;
double c1 = c - 100.0;
double c2 = c - 200.0;
double rr = r - 100.0;
// purposely use 270,257 since it is > 255
double v1 = 270.0 - vcl_sqrt( rr*rr + c1*c1 );
double v2 = 257.0 - vcl_sqrt( rr*rr + c2*c2 );
double maxv = v1;
if( maxv < v2 ) maxv = v2;
double val = maxv;
// Clip
if( val < 0.0 ) val = 0.0;
if( val > 255.0 ) val = 255.0;
image->SetPixel(pixelIndex, static_cast<unsigned char>(val) );
}
}
}