/usr/include/ITK-4.5/itkGaussianDerivativeImageFunction.h is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
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*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef __itkGaussianDerivativeImageFunction_h
#define __itkGaussianDerivativeImageFunction_h
#include "itkNeighborhoodOperatorImageFunction.h"
#include "itkGaussianDerivativeSpatialFunction.h"
#include "itkGaussianSpatialFunction.h"
namespace itk
{
/**
* \class GaussianDerivativeImageFunction
* \brief Compute the gaussian derivatives of an the image
* at a specific location in space, i.e. point, index or continuous
* index.
* This class is templated over the input image type.
* \sa NeighborhoodOperator
* \sa ImageFunction
* \ingroup ITKImageFunction
*/
template< typename TInputImage, typename TOutput = double >
class GaussianDerivativeImageFunction:
public ImageFunction< TInputImage,
Vector< TOutput, TInputImage::ImageDimension >,
TOutput >
{
public:
/**Standard "Self" typedef */
typedef GaussianDerivativeImageFunction Self;
/** Standard "Superclass" typedef */
typedef ImageFunction< TInputImage,
Vector< TOutput, TInputImage::ImageDimension >,
TOutput > Superclass;
/** Smart pointer typedef support. */
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(GaussianDerivativeImageFunction, ImageFunction);
/** InputImageType typedef support. */
typedef TInputImage InputImageType;
typedef typename InputImageType::PixelType InputPixelType;
typedef typename InputImageType::IndexType IndexType;
/** Dimension of the underlying image. */
itkStaticConstMacro(ImageDimension2, unsigned int,
InputImageType::ImageDimension);
typedef ContinuousIndex< SpacePrecisionType, itkGetStaticConstMacro(ImageDimension2) >
ContinuousIndexType;
typedef Neighborhood< InputPixelType, itkGetStaticConstMacro(ImageDimension2) > NeighborhoodType;
typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension2) > OperatorNeighborhoodType;
typedef Vector< TOutput, itkGetStaticConstMacro(ImageDimension2) > VectorType;
typedef typename Superclass::OutputType OutputType;
typedef FixedArray< OperatorNeighborhoodType, 2 * itkGetStaticConstMacro(ImageDimension2) > OperatorArrayType;
typedef NeighborhoodOperatorImageFunction< InputImageType,
TOutput > OperatorImageFunctionType;
typedef typename OperatorImageFunctionType::Pointer OperatorImageFunctionPointer;
typedef GaussianDerivativeSpatialFunction< TOutput, 1 > GaussianDerivativeFunctionType;
typedef typename GaussianDerivativeFunctionType::Pointer GaussianDerivativeFunctionPointer;
typedef GaussianSpatialFunction< TOutput, 1 > GaussianFunctionType;
typedef typename GaussianFunctionType::Pointer GaussianFunctionPointer;
/** Point typedef support. */
// typedef Point< TOutput, itkGetStaticConstMacro(ImageDimension2) > PointType;
typedef typename InputImageType::PointType PointType;
/** Evalutate the in the given dimension at specified point */
virtual OutputType Evaluate(const PointType & point) const;
/** Evaluate the function at specified Index position */
virtual OutputType EvaluateAtIndex(const IndexType & index) const;
/** Evaluate the function at specified ContinousIndex position. */
virtual OutputType EvaluateAtContinuousIndex(
const ContinuousIndexType & index) const;
/** The variance for the discrete Gaussian kernel. Sets the variance
* independently for each dimension, but
* see also SetVariance(const double v). The default is 0.0 in each
* dimension. If UseImageSpacing is true, the units are the physical units
* of your image. If UseImageSpacing is false then the units are
* pixels. */
void SetSigma(const double *sigma);
void SetSigma(const double sigma);
const double * GetSigma() const { return m_Sigma; }
/** Set the extent of the kernel */
void SetExtent(const double *extent);
void SetExtent(const double extent);
const double * GetExtent() const { return m_Extent; }
/** Set the input image.
* \warning this method caches BufferedRegion information.
* If the BufferedRegion has changed, user must call
* SetInputImage again to update cached values. */
virtual void SetInputImage(const InputImageType *ptr);
protected:
GaussianDerivativeImageFunction();
GaussianDerivativeImageFunction(const Self &);
~GaussianDerivativeImageFunction(){}
void operator=(const Self &);
void PrintSelf(std::ostream & os, Indent indent) const;
void RecomputeGaussianKernel();
void RecomputeContinuousGaussianKernel(
const double *offset) const;
private:
double m_Sigma[ImageDimension2];
/** Array of 1D operators. Contains a derivative kernel and a gaussian kernel for
* each dimension */
mutable OperatorArrayType m_OperatorArray;
mutable OperatorArrayType m_ContinuousOperatorArray;
/** OperatorImageFunction */
OperatorImageFunctionPointer m_OperatorImageFunction;
double m_Extent[ImageDimension2];
/** Flag to indicate whether to use image spacing */
bool m_UseImageSpacing;
/** Neighborhood Image Function */
GaussianDerivativeFunctionPointer m_GaussianDerivativeFunction;
GaussianFunctionPointer m_GaussianFunction;
};
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGaussianDerivativeImageFunction.hxx"
#endif
#endif
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