#include <GaussianBlurringWithPadding2D.h>
Inheritance diagram for mirtk::GaussianBlurringWithPadding2D< TVoxel >:
Collaboration diagram for mirtk::GaussianBlurringWithPadding2D< TVoxel >:
Public Member Functions | |
| GaussianBlurringWithPadding2D (double=1.0, VoxelType=-1) | |
| Constructor. | |
| GaussianBlurringWithPadding2D (double, double, VoxelType) | |
| Constructor. | |
 Public Member Functions inherited from mirtk::GaussianBlurringWithPadding< TVoxel > | |
| GaussianBlurringWithPadding (double, VoxelType) | |
| Constructor. | |
| GaussianBlurringWithPadding (double, double, VoxelType) | |
| Constructor. | |
| GaussianBlurringWithPadding (double, double, double, VoxelType) | |
| Constructor. | |
| GaussianBlurringWithPadding (double, double, double, double, VoxelType) | |
| Constructor. | |
| Public Member Functions inherited from mirtk::GaussianBlurring< TVoxel > | |
| GaussianBlurring (double=1.) | |
| Constructor. | |
| GaussianBlurring (double, double, double=0., double=0.) | |
| Constructor. | |
| virtual void | SetSigma (double) |
| Set sigma. | |
| virtual void | SetSigma (double, double, double=0., double=0.) |
| Set sigma. | |
| ~GaussianBlurring () | |
| Destructor. | |
| Public Member Functions inherited from mirtk::SeparableConvolution< TVoxel > | |
| bool | CheckKernel (const KernelType *) const |
| Check if given kernel is valid. | |
| void | Kernel (const KernelType *) |
| Set isotropic convolution kernel for all dimensions. | |
| virtual void | Run () |
| Convolve image. | |
| virtual void | RunT () |
| Convolve image along t only. | |
| virtual void | RunX () |
| Convolve image along x only. | |
| virtual void | RunY () |
| Convolve image along y only. | |
| virtual void | RunZ () |
| Convolve image along z only. | |
| SeparableConvolution (const KernelType *k=nullptr) | |
| SeparableConvolution (const KernelType *kx, const KernelType *ky, const KernelType *kz=nullptr, const KernelType *kt=nullptr) | |
| ~SeparableConvolution () | |
| Destructor. | |
| Public Member Functions inherited from mirtk::ImageToImage< TVoxel > | |
| ImageToImage () | |
| Constructor. | |
| virtual bool | RequiresBuffering () const |
| virtual double | Run (int, int, int, int=0) |
| Run filter on single voxel. | |
| virtual | ~ImageToImage () |
| Destructor. | |
| Public Member Functions inherited from mirtk::Object | |
| virtual const char * | NameOfClass () const =0 |
| Get name of class, which this object is an instance of. | |
| virtual ParameterList | Parameter () const |
| Get parameter name/value pairs. | |
| bool | Parameter (const ParameterList &) |
| Set parameters from name/value pairs. | |
| virtual bool | Set (const char *name, const char *value) |
| virtual | ~Object () |
| Destructor. | |
Additional Inherited Members | |
| Public Types inherited from mirtk::SeparableConvolution< TVoxel > | |
| typedef GenericImage< RealPixel > | KernelType |
| Type of convolution kernel. | |
| Public Types inherited from mirtk::ImageToImage< TVoxel > | |
| typedef GenericImage< VoxelType > | ImageType |
| Input/output image type. | |
| typedef TVoxel | VoxelType |
| Input/output image voxel type. | |
| Static Public Member Functions inherited from mirtk::GaussianBlurring< TVoxel > | |
| static int | KernelSize (double) |
| Kernel size used for a given sigma (divided by voxel size) | |
| Static Public Member Functions inherited from mirtk::Object | |
| static const char * | NameOfType () |
| Get name of this class type. | |
| Protected Types inherited from mirtk::GaussianBlurring< TVoxel > | |
| typedef SeparableConvolution< TVoxel >::KernelType | KernelType |
| Type of convolution kernels. | |
| Protected Member Functions inherited from mirtk::GaussianBlurring< TVoxel > | |
| virtual void | Initialize () |
| Initialize filter. | |
| UniquePtr< KernelType > | InitializeKernel (double) |
| Initialize 1D Gaussian kernel with sigma given in voxel units. | |
| mirtkAttributeMacro (double, SigmaX) | |
| Standard deviation of Gaussian kernel in x. | |
| mirtkAttributeMacro (double, SigmaY) | |
| Standard deviation of Gaussian kernel in y. | |
| mirtkAttributeMacro (double, SigmaZ) | |
| Standard deviation of Gaussian kernel in z. | |
| mirtkAttributeMacro (double, SigmaT) | |
| Standard deviation of Gaussian kernel in t. | |
| Protected Member Functions inherited from mirtk::SeparableConvolution< TVoxel > | |
| virtual void | Finalize () |
| Finalize filter. | |
| mirtkPublicAggregateMacro (const KernelType, KernelX) | |
| Convolution kernel along x axis. | |
| mirtkPublicAggregateMacro (const KernelType, KernelY) | |
| Convolution kernel along y axis. | |
| mirtkPublicAggregateMacro (const KernelType, KernelZ) | |
| Convolution kernel along z axis. | |
| mirtkPublicAggregateMacro (const KernelType, KernelT) | |
| Convolution kernel along t axis. | |
| mirtkPublicAttributeMacro (bool, Normalize) | |
| Whether to normalize kernels. | |
| mirtkPublicAttributeMacro (bool, UseBackgroundMask) | |
| mirtkPublicAttributeMacro (bool, UseBackgroundValue) | |
| mirtkPublicAttributeMacro (bool, UsePaddingValue) | |
| mirtkPublicAttributeMacro (double, PaddingValue) | |
| Padding value. | |
| mirtkPublicAttributeMacro (int, Components) | |
| Protected Member Functions inherited from mirtk::ImageToImage< TVoxel > | |
| void | Initialize (bool) |
| mirtkAggregateMacro (ImageType, Buffer) | |
| Buffer. | |
| mirtkPublicAggregateMacro (const ImageType, Input) | |
| Input image for filter. | |
| mirtkPublicAggregateMacro (ImageType, Output) | |
| Output image for filter. | |
| Protected Member Functions inherited from mirtk::Object | |
| template<typename... Args> | |
| void | Throw (ErrorType err, const char *func, Args... args) const |
| Static Protected Member Functions inherited from mirtk::Object | |
| template<typename... Args> | |
| static void | ThrowStatic (ErrorType err, const char *cls, const char *func, Args... args) |
Detailed Description
template<class TVoxel>
class mirtk::GaussianBlurringWithPadding2D< TVoxel >
Class for Gaussian blurring of padded images
This class defines and implements the Gaussian blurring of padded images. It takes 2D and 3D images but blurres only in the x and y direction. The blurring is implemented by two successive 1D convolutions with a 1D Gaussian kernel. If more than 50% of the voxels used for the convolution have intensities smaller or equal to the padding value, the blurred voxel will be filled with the padding value.
Definition at line 41 of file GaussianBlurringWithPadding2D.h.
The documentation for this class was generated from the following file: