1. ITK Basic Filters Kitware Inc.

2. ITK Basic Filters Pixel-wise Arithmetic, Casting, Thresholding Mathematical morphology Noise reduction Gaussian, Anisotropic diffusion Derivatives

3. Pixel-wise Intensity Filters

4. Thresholding InsideValue OutsideValue Lower Threshold Upper Threshold Output Value Input Value

5. Thresholding typedef itk::Image ImageType; typedef itk::BinaryThresholdImageFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetLowerThreshold( 50 ); filter->SetUpperThreshold( 150 ); filter->SetOutsideValue( 0 ); filter->SetInsideValue( 255 ); filter->SetInput( reader->GetOutput() ); writer->SetInput( filter->GetOutput() ); writer->Update()

6. Thresholding Outside Value Lower Threshold Upper Threshold Output Value Input Value Ramp

7. Exercise 6

8. Sigmoid Output Maximum Output Minimum Output Value Input Value Beta Alpha

9. Sigmoid typedef itk::Image ImageType; typedef itk::SigmoidImageFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetOutputMinimum( 0 ); filter->SetOutputMaximum( 255 ); filter->SetAlpha( 40 ); // it could be negative filter->SetBeta( 128 ); filter->SetInput( reader->GetOutput() ); writer->SetInput( filter->GetOutput() ); writer->Update()

10. Exercise 7

11. Mathematical Morphology typedef unsigned char PixelType; typedef itk::Image ImageType; typedef itk::BinaryBallStructuringElement StructuringElementType; typedef itk::BinaryDilateImageFilter FilterType; FilterType::Pointer filter = FilterType::New();

12. Mathematical Morphology StructuringElementType element; element.SetRadius( 1 ); element.CreateStructuringElement(); filter->SetKernel( element ); filter->SetDilateValue( 255 ); thresholder->SetInput( reader ->GetOtput( ) ); filter->SetInput( thresholder ->GetOtput( ) ); writer->SetInput( filter ->GetOtput( ) ); writer->Update();

13. Mathematical Morphology File reader dilate writer File reader dilate writer File erode

14. Exercise 8

15. Noise Reduction

16. Gaussian Smoothing typedef unsigned char PixelType; typedef itk::Image ImageType; typedef itk::SmoothingRecursiveGaussianImageFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetSigma( 3.0 ); // sigma is given in millimeters filter->SetNormalizeAcrossScale( true );

17. Gaussian Smoothing smoother->SetInput( reader->GetOtput() ); writer->SetInput( smoother->GetOtput() ); writer->Update(); File reader smooth writer File

18. Exercise 9

19. Anisotropic Diffusion typedef float PixelType; typedef itk::Image ImageType; typedef itk::GradientAnisotropicDiffusionImageFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetTimeStep( 0.05 ); filter->SetNumberOfIterations( 10 ); filter->SetConductanceParameter( 3.0 );

20. Anisotropic Diffusion GradientAnisotropicDiffusionImageFilter CurvatureAnisotropicDiffusionImageFilter CurvatureFlowImageFilter

21. Exercise 10

22. Gradients / Derivatives

23. Gaussian Derivative typedef unsigned char PixelType; typedef itk::Image ImageType; typedef itk::GradientRecursiveGaussianImageFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetSigma( 3.0 ); // sigma is given in millimeters filter->SetNormalizeAcrossScale( true );

24. Gaussian Gradient Scalar Image Gradient Gaussian Vector Image Convolution with Gaussian derivatives

25. Gradient Magnitude typedef unsigned char PixelType; typedef itk::Image ImageType; typedef itk::GradientMagnitudeRecursiveGaussianImageFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetSigma( 3.0 ); // sigma is given in millimeters filter->SetNormalizeAcrossScale( true );

26. Exercise 11

27. Enjoy ITK !