[Insight-users] CannyEdgefilter
Wen Shi
wsa18 at sfu.ca
Thu Mar 12 16:35:44 EDT 2009
Hi Ghassan and guys,
As we discussed before, for the cannyedgedetectionfilter, since it deals with noise by first convolve the image with a Guassian filter,
I supposed that maybe the data from the output filter can be a good measure for the edges.
But when I tried a brain image with the filter, I saw lots of noisy edges in the processed image.
Even in the region in which the original image has nothing(no edge clues there) there, the processed image has a lot of short bright edges.
Why is that?
Did I do anything wrong?
Here is the simple code:
int main(int argc, char* argv[])
{
argc=3;
if( argc < 3 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImage outputImage [variance]" << std::endl;
return EXIT_FAILURE;
}
const char * inputFilename = "BrainProtonDensitySlice.PNG";
const char * outputFilename = "wire1.jpeg" ;
float variance = 2.0;
if( argc > 3 )
{
variance = atof( argv[3] );
}
typedef unsigned char CharPixelType; // IO
typedef double RealPixelType; // Operations
const unsigned int Dimension = 2;
typedef itk::Image<CharPixelType, Dimension> CharImageType;
typedef itk::Image<RealPixelType, Dimension> RealImageType;
typedef itk::ImageFileReader< CharImageType > ReaderType;
typedef itk::ImageFileWriter< CharImageType > WriterType;
typedef itk::CastImageFilter< CharImageType, RealImageType> CastToRealFilterType;
typedef itk::RescaleIntensityImageFilter<RealImageType, CharImageType > RescaleFilter;
typedef itk::CannyEdgeDetectionImageFilter<RealImageType, RealImageType> CannyFilter;
ReaderType::Pointer reader = ReaderType::New();
WriterType::Pointer writer = WriterType::New();
CastToRealFilterType::Pointer toReal = CastToRealFilterType::New();
RescaleFilter::Pointer rescale = RescaleFilter::New();
//Setting the ITK pipeline filter
CannyFilter::Pointer cannyFilter = CannyFilter::New();
reader->SetFileName( inputFilename );
writer->SetFileName( outputFilename );
//The output of an edge filter is 0 or 1
rescale->SetOutputMinimum( 0 );
rescale->SetOutputMaximum( 255 );
toReal->SetInput( reader->GetOutput() );
cannyFilter->SetInput( toReal->GetOutput() );
cannyFilter->SetVariance( variance );
rescale->SetInput( cannyFilter->GetOutput() );
writer->SetInput( rescale->GetOutput() );
try
{
writer->Update();
}
catch( itk::ExceptionObject & err )
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
Thanks a lot
Wen SHi
More information about the Insight-users
mailing list