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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 itkDifferenceOfGaussiansGradientImageFilter_h
#define itkDifferenceOfGaussiansGradientImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkCovariantVector.h"
namespace itk
{
/**
* \class DifferenceOfGaussiansGradientImageFilter
* \brief Performs difference-of-gaussians gradient detection
*
* \ingroup ImageEnhancement
* \ingroup GradientFilters
*
* \ingroup ITKImageGradient
*/
template <typename TInputImage, typename TDataType>
class ITK_TEMPLATE_EXPORT DifferenceOfGaussiansGradientImageFilter
: public ImageToImageFilter<
TInputImage,
Image<CovariantVector<TDataType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(DifferenceOfGaussiansGradientImageFilter);
/** Number of dimensions. */
static constexpr unsigned int NDimensions = TInputImage::ImageDimension;
/** Standard class type aliases. */
using Self = DifferenceOfGaussiansGradientImageFilter;
/** Output image type alias. The output image is always an n-dimensional
* image of n-dimensional vectors of doubles. */
using TOutputImage = Image<CovariantVector<TDataType, Self::NDimensions>, Self::NDimensions>;
/** Standard class type aliases. */
using Superclass = ImageToImageFilter<TInputImage, TOutputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(DifferenceOfGaussiansGradientImageFilter);
/** Image size type alias. */
using SizeType = Size<Self::NDimensions>;
/** Image index type alias. */
using IndexType = typename TInputImage::IndexType;
/** Image pixel value type alias. */
using PixelType = typename TInputImage::PixelType;
/** Typedef to describe the output image region type. */
using OutputImageRegionType = typename TInputImage::RegionType;
/** Set/Get the member variables. */
itkGetConstMacro(Width, unsigned int);
itkSetMacro(Width, unsigned int);
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro(DataTypeHasNumericTraitsCheck, (Concept::HasNumericTraits<TDataType>));
// End concept checking
#endif
protected:
DifferenceOfGaussiansGradientImageFilter();
~DifferenceOfGaussiansGradientImageFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** Method for evaluating the implicit function over the image. */
void
GenerateData() override;
private:
unsigned int m_Width{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkDifferenceOfGaussiansGradientImageFilter.hxx"
#endif
#endif
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