niftkDoubleWindowBSI.cxx File Reference

Include dependency graph for niftkDoubleWindowBSI.cxx:

Typedefs
typedef itk::Image< double, 3 >	DoubleImageType
typedef itk::Image< int, 3 >	IntImageType
typedef itk::ImageFileReader < DoubleImageType >	DoubleReaderType
typedef itk::ImageFileReader < IntImageType >	IntReaderType
typedef itk::ImageFileWriter < IntImageType >	WriterType
typedef itk::IntensityNormalisationCalculator < DoubleImageType, IntImageType >	IntensityNormalisationCalculatorType
typedef itk::BoundaryShiftIntegralCalculator < DoubleImageType, IntImageType, IntImageType >	BoundaryShiftIntegralFilterType
typedef itk::DoubleWindowBoundaryShiftIntegralCalculator < DoubleImageType, IntImageType, IntImageType >	DoubleWindowBoundaryShiftIntegralFilterType
typedef itk::SimpleKMeansClusteringImageFilter < DoubleImageType, IntImageType, IntImageType >	SimpleKMeansClusteringImageFilterType
typedef itk::MultipleDilateImageFilter < IntImageType >	MultipleDilateImageFilterType
typedef itk::BinariseUsingPaddingImageFilter < IntImageType, IntImageType >	BinariseUsingPaddingImageFilterType

Functions
void	KMeansClassification (SimpleKMeansClusteringImageFilterType::ParametersType &means, SimpleKMeansClusteringImageFilterType::ParametersType &stds, const DoubleImageType *image, const IntImageType *mask, int numberOfDilations, int numberOfClasses, const char *outputImageName)
int	main (int argc, char *argv[])

Typedef Documentation

typedef itk::BinariseUsingPaddingImageFilter<IntImageType,IntImageType> BinariseUsingPaddingImageFilterType

typedef itk::BoundaryShiftIntegralCalculator<DoubleImageType,IntImageType,IntImageType> BoundaryShiftIntegralFilterType

typedef itk::Image<double, 3> DoubleImageType

Typedefs.

typedef itk::ImageFileReader<DoubleImageType> DoubleReaderType

typedef itk::DoubleWindowBoundaryShiftIntegralCalculator<DoubleImageType,IntImageType,IntImageType> DoubleWindowBoundaryShiftIntegralFilterType

typedef itk::IntensityNormalisationCalculator<DoubleImageType, IntImageType> IntensityNormalisationCalculatorType

typedef itk::Image<int, 3> IntImageType

typedef itk::ImageFileReader<IntImageType> IntReaderType

typedef itk::MultipleDilateImageFilter<IntImageType> MultipleDilateImageFilterType

typedef itk::SimpleKMeansClusteringImageFilter< DoubleImageType, IntImageType, IntImageType > SimpleKMeansClusteringImageFilterType

typedef itk::ImageFileWriter<IntImageType> WriterType

Function Documentation

void KMeansClassification	(	SimpleKMeansClusteringImageFilterType::ParametersType &	means,
		SimpleKMeansClusteringImageFilterType::ParametersType &	stds,
		const DoubleImageType *	image,
		const IntImageType *	mask,
		int	numberOfDilations,
		int	numberOfClasses,
		const char *	outputImageName
	)

Use K-means clustering to get the means of the tissues.

int main	(	int	argc,
		char *	argv[]
	)

Main program.